Cognitive Computing

Key Note: All videos listed on this page are sourced from publicly available YouTube channels. They are shared here for educational and informational purposes only. All credit goes to the original creators, and the content remains the property of the respective owners.

Building Cognitive Applications with Watson by Jonathan Kaufman

The more we interact with “smart apps,” the more we hear the word “cognitive” being thrown around. But what actually does this imply? What is a cognitive application? Can I ...make my app smarter? Can I make my app cognitive? In this session we'll be covering what these buzzwords mean and how to enhance your application with Watson services. We'll build an application from scratch and we'll discuss how to integrate Watson into your existing application.

We will start with a demo of https://github.com/IBM-Bluemix/election-insights which uses Alchemy for sentiment analysis and entity extraction along with visual recognition. That app is hosted here: http://electioninsights.mybluemix.net/#/. From there we will use Node-Red to quickly build an app that uses Watson Tone Analysis and translates tone into color.Show More

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Building Cognitive Applications with Watson by Jonathan Kaufman

The more we interact with “smart apps,” the more we hear the word [...]

The more we interact with “smart apps,” the more we hear the word “cognitive” being thrown around. But what actually does this imply? What is a cognitive application? Can I ...make my app smarter? Can I make my app cognitive? In this session we'll be covering what these buzzwords mean and how to enhance your application with Watson services. We'll build an application from scratch and we'll discuss how to integrate Watson into your existing application.

We will start with a demo of https://github.com/IBM-Bluemix/election-insights which uses Alchemy for sentiment analysis and entity extraction along with visual recognition. That app is hosted here: http://electioninsights.mybluemix.net/#/. From there we will use Node-Red to quickly build an app that uses Watson Tone Analysis and translates tone into color.Show More

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Nuts and Bolts of Applying Deep Learning (Andrew Ng)

The talks at the Deep Learning School on September 24/25, 2016 were [...]

The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below ...in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below.

Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days:

1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc

Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY

Go to http://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.

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How artificial intelligence will make technology disappear | Rand Hindi | TEDxÉcolePolytechnique

When is the last time you had dinner with someone without checking [...]

When is the last time you had dinner with someone without checking Facebook or Instagram on your phone? With smartphones and connected objects invading our everyday lives, it is getting ...harder and harder to connect with people nowadays. Rand Hindi astounds us by proposing a solution to this problem that might just change our lives.
Join us on our website and on social networks:
http://tedxecolepolytechnique.com/
https://www.facebook.com/tedxecolepolytechnique
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Rand Hindi started programming at ten years old. He founded his first startup when he was fourteen and his web development agency at fifteen. After getting his PhD in Bioinformatics he continued his entrepreneurial activities, attracting attention from Forbes and being named in their “30 people under 30 to watch” list. He aims to profoundly change our lives and relationship with technology through his products and ideas.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedxShow More

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Overview of ai-one Nathan Technology June 2013

Nathan is a new form of machine learning that is able to learn, [...]

Nathan is a new form of machine learning that is able to learn, interpret and compare unstructured information like a human. It is an ideal tool for building intelligent agents ...to mine, classify and compare text. Unlike other forms of artificial intelligence, it requires no human intervention or training and is able to understand any language.Show More

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Transform customer service with machine learning (Google Cloud Next '17)

It's easy to analyze one customer conversation, but what if you have [...]

It's easy to analyze one customer conversation, but what if you have thousands of messages all coming in at once? Google Cloud Platform (GCP) has a suite of machine learning ...products to help you understand customer service data. In this video, you'll learn how to use Cloud Machine Learning, along with the Cloud Natural Language, Speech, and Translation APIs to analyze customer emails, tickets and calls in real time. You'll also hear from a Google Cloud customer on how they're using our machine learning products to streamline and improve their customer service.

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9kShow More

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Byron Galbraith, Chief Data Scientist, Talla at MLconf Seattle 2017

Byron Galbraith is the Chief Data Scientist and co-founder of Talla, [...]

Byron Galbraith is the Chief Data Scientist and co-founder of Talla, where he works to translate the latest advancements in machine learning and natural language processing to build AI-powered conversational ...agents. Byron has a PhD in Cognitive and Neural Systems from Boston University and an MS in Bioinformatics from Marquette University. His research expertise includes brain-computer interfaces, neuromorphic robotics, spiking neural networks, high-performance computing, and natural language processing. Byron has also held several software engineering roles including back-end system engineer, full stack web developer, office automation consultant, and game engine developer at companies ranging in size from a two-person startup to a multi-national enterprise.

Abstract summary

Neural Information Retrieval and Conversational Question Answering:
One the main affordances of conversational UIs is the ability to use natural language to succinctly convey to a bot what you want. An area where this interface excels is in question answering (Q&A). Research into Q&A systems often falls at the intersection of natural language processing (NLP) and information retrieval (IR), and while NLP has been getting a lot of attention from deep learning for several years now, it’s only largely within the last year or so that the field of IR has seen an equivalent explosion of interest in employing these techniques. In this presentation, I will touch on challenges facing conversational bots, provide a high level overview into the emerging field of Neural Information Retrieval, discuss how these methods can be used in a Q&A context, and then highlight some lessons learned attempting to design and deploy a conversational Q&A agent-based product.Show More

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Prediction Machines: The Simple Economics of Artificial Intelligence

Prof. Ajay Agrawal, founder of the Creative Destruction Lab and [...]

Prof. Ajay Agrawal, founder of the Creative Destruction Lab and co-founder of the AI/robotics company Kindred, explored the economics behind the creation of artificial intelligence.
April 18th, 2018

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Richard Socher - The Natural Language Decathlon: Multitask Learning as Question Answering

Deep learning has improved performance on many natural language [...]

Deep learning has improved performance on many natural language processing (NLP) tasks individually. However, general NLP models cannot emerge within a paradigm that focuses on the particularities of a single ...metric, dataset, and task.

We introduce the Natural Language Decathlon (decaNLP), a challenge that spans ten tasks: question answering, machine translation, summarization, natural language inference, sentiment analysis, semantic role labeling, zero-shot relation extraction, goal-oriented dialogue, semantic parsing, and commonsense pronoun resolution.

We cast all tasks as question answering over a context. Furthermore, we present a new Multitask Question Answering Network (MQAN) jointly learns all tasks in decaNLP without any task-specific modules or parameters in the multitask setting. MQAN shows improvements in transfer learning for machine translation and named entity recognition, domain adaptation for sentiment analysis and natural language inference, and zero-shot capabilities for text classification. We demonstrate that the MQAN's multi-pointer-generator decoder is key to this success and performance further improves with an anti-curriculum training strategy.
Though designed for decaNLP, MQAN also achieves state of the art results on the WikiSQL semantic parsing task in the single-task setting.

We release code for procuring and processing data, training and evaluating models, and reproducing all experiments for decaNLP.Show More

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Napoleonic Wars: Battle of Austerlitz 1805

Napoleonic Wars Part 1: Napoleon's brilliant 1805 campaign culminates [...]

Napoleonic Wars Part 1: Napoleon's brilliant 1805 campaign culminates in victory at Austerlitz.

Get early access and a vote on future topics by supporting Epic History TV on Patreon: https://www.patreon.com/epichistorytv

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Licensed under Creative Commons: By Attribution 3.0
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What’s The Difference Between Artificial Intelligence And Machine Learning

In this video I explain the difference between AI and ML and how both [...]

In this video I explain the difference between AI and ML and how both can be used in business to solve real world problems.

If you would like more information on ...this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning.

Visit the Artificial Intelligence & Machine Learning topic page: https://bernardmarr.com/default.asp?contentID=1314

Thanks for watching!Show More

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Semantic networks and spreading activation | Processing the Environment | MCAT | Khan Academy

Learn about how knowledge is organized in the mind. Created by Carole [...]

Learn about how knowledge is organized in the mind. Created by Carole Yue.

Watch the next lesson: https://www.khanacademy.org/test-prep/mcat/processing-the-environment/cognition/v/piagets-stages-of-cognitive-development?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

Missed the previous lesson? https://www.khanacademy.org/test-prep/mcat/processing-the-environment/memory/v/alzheimer-s-disease-and-korsakoff-s-syndrome?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

MCAT on Khan Academy: Go ahead and practice some ...passage-based questions!

About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.

For free. For everyone. Forever. #YouCanLearnAnything

Subscribe to Khan Academy’s MCAT channel: https://www.youtube.com/channel/UCDkK5wqSuwDlJ3_nl3rgdiQ?sub_confirmation=1
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Knowledge Representation in AI | Semantic Networks | Artificial Intelligence Tutorial | Edureka

*** AI & ML Masters Program - [...]

*** AI & ML Masters Program - https://www.edureka.co/masters-program/machine-learning-engineer-training ***
This Edureka video on "Knowledge Representation in AI" will explain what is knowledge representation and how reasoning works in AI. ...It will explain the different techniques to represent knowledge.
(Blog: https://www.edureka.co/blog/knowledge-representation-in-ai/ )

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#edureka #edurekaAI #artificialIntelligence #KnowledgeRepresentation #artificialintelligencetutorial
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About the course:

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

If you are looking for live online training, write back to us at sales@edureka.in or call us at (Toll-Free) US: + 18338555775 or India: +91 9606058406 for more information.Show More

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Information Processing Theory Explained

Check out this practice test I made on Learn My Test: [...]

Check out this practice test I made on Learn My Test: https://www.learnmytest.com/Publictaketest/publicTestLink/WVAjD6vuHHoM2pKf9YQR6DcyuYp72np_Bx_xnfdEMBQ

Brian G. Collin, PhD, founder of Learn My Test (www.learnmytest.com) explains the information processing theory. Please check our other ...videos. If you are studying for exams, remember the best way to study is to take practice tests. If you can't find any, go to http://www.learnmytest.com.Show More

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Information processing model: Sensory, working, and long term memory | MCAT | Khan Academy

Learn about the information processing model of human memory. Created [...]

Learn about the information processing model of human memory. Created by Carole Yue.

Watch the next lesson: https://www.khanacademy.org/test-prep/mcat/processing-the-environment/memory/v/encoding-strategies?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

Missed the previous lesson? https://www.khanacademy.org/test-prep/mcat/processing-the-environment/attention-language/v/the-spotlight-model-of-attention-and-our-ability-to-multitask?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

MCAT on Khan Academy: Go ahead and practice some passage-based ...questions!

About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.

For free. For everyone. Forever. #YouCanLearnAnything

Subscribe to Khan Academy’s MCAT channel: https://www.youtube.com/channel/UCDkK5wqSuwDlJ3_nl3rgdiQ?sub_confirmation=1
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Class Takeaways— People Analytics

The first step in using data is understanding what data analytics can [...]

The first step in using data is understanding what data analytics can and cannot do. People call it artificial intelligence, but machines are merely good at prediction. Your role as ...a leader is to use those predictions to inform your decisions.

In his class People Analytics, associate professor of organizational behavior, Amir Goldberg, teaches how leaders can utilize data analytics to make better decisions within their organizations. #classtakeawaysShow More

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Class Takeaways— People Analytics

The first step in using data is understanding what data analytics can [...]

The first step in using data is understanding what data analytics can and cannot do. People call it artificial intelligence, but machines are merely good at prediction. Your role as ...a leader is to use those predictions to inform your decisions.

In his class People Analytics, associate professor of organizational behavior, Amir Goldberg, teaches how leaders can utilize data analytics to make better decisions within their organizations. #classtakeawaysShow More

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Information Processing Theory - Classroom Applications

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Class Takeaways — The Frinky Science of the Human Mind

Five lessons in five minutes — how to build emotional connections that [...]

Five lessons in five minutes — how to build emotional connections that back up your decisions

We often think that the best way to sell our ideas is by making rational ...arguments. Yet if we really want to convince others, we also need to make emotional appeals that tap into the brain's need for excitement, curiosity, and comfort. That's one of the counterintuitive — or “frinky” — insights shared by Stanford GSB professor of marketing Baba Shiv in this video based on his course Designing Solutions by Leveraging the Frinky Science of the Human Mind. #classtakeaways

Animations by Wienot films.Show More

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Baba Shiv: How to Make Better Decisions

Baba Shiv demystifies the brain chemistry that controls our decision [...]

Baba Shiv demystifies the brain chemistry that controls our decision making, and explains how you can regulate it to make better decisions. He also uses the latest neuroscience research to ...answer the question, "Is it better to make decisions in the morning or the afternoon?" Shiv is the Sanwa Bank Limited professor of marketing, and director of the Strategic Marketing Management Executive Program at the Stanford Graduate School of Business.

Sign up for Stanford Business Re:Think to receive more insights delivered straight to your inbox: http://goo.gl/rkqdq

Learn more about Baba Shiv: http://www.gsb.stanford.edu/users/bshiv

Learn more about the Strategic Marketing Management Executive Program at the Stanford Graduate School of Business: http://www.gsb.stanford.edu/exed/smm/Show More

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Motivation #1 - Organizational Behavior

26. Cognitive Science, Philosophy in Artificial Intelligence: Human Mind vs Turing machine.

Classic. The problem of relation of a computer and human mind is a milstone of Philsophy of Mind and Cognitive Science.

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26. Cognitive Science, Philosophy in Artificial Intelligence: Human Mind vs Turing machine.

Classic. The problem of relation of a computer and human mind is a [...]

Classic. The problem of relation of a computer and human mind is a milstone of Philsophy of Mind and Cognitive Science.

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Cognitive Science

Take the full course: https://bit.ly/SiCourse Download booklet: [...]

Take the full course: https://bit.ly/SiCourse
Download booklet: https://bit.ly/SiBooklets

Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
In this video we take a look at neuroscience, cognitive science and the workings of the brain. Cognitive science is the interdisciplinary, ...scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition. Cognitive scientists study intelligence and behavior, with a focus on how nervous systems represent, process, and transform information.Show More

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CASBS Cross Talk: Artificial Intelligence and cognitive science Pt 3

Participants: John Horty, CASBS Fellow, Philosophy, University of [...]

Participants: John Horty, CASBS Fellow, Philosophy, University of Maryland; Wendelin Reich, CASBS Fellow, Psychology, SCASSS; Discuss Artificial Intelligence and cognitive science

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Cognitive Science - UCSC Majors

Learn about majoring in Cognitive Science at UCSC

Learn about majoring in Cognitive Science at UCSC

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UCSD Cognitive Science - Seana Coulson, Ph.D (Pt 1 of 2)

Cognitive Science is in part the people who do it. Get to know one [...]

Cognitive Science is in part the people who do it. Get to know one such UCSD Cognitive Scientist -- Seana Coulson -- as she talks about her laboratory's research into ...how brains construct meaning. From her mind to yours, thoughts on cognitive semantics, humor, gesture, and her book in progress.Show More

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Artificial Intelligence and Cognitive Science - Seminar by Francesco Bianchini

Digital Humanities and Digital Knowledge (DHDK) - Inaugural Opening [...]

Digital Humanities and Digital Knowledge (DHDK) - Inaugural Opening Events. Bologna, 11 October 2017 - 10 November 2017.
https://events.unibo.it/inaugural-opening-dhdk-2017

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Your Brain Hallucinates Your Conscious Reality | Anil Seth | TED

Right now, billions of neurons in your brain are working together to [...]

Right now, billions of neurons in your brain are working together to generate a conscious experience — and not just any conscious experience, your experience of the world around you ...and of yourself within it. How does this happen? According to neuroscientist Anil Seth, we're all hallucinating all the time; when we agree about our hallucinations, we call it "reality." Join Seth for a delightfully disorienting talk that may leave you questioning the very nature of your existence.

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The most important lesson from 83,000 brain scans | Daniel Amen | TEDxOrangeCoast

Never miss a talk! SUBSCRIBE to the TEDx channel: [...]

Never miss a talk! SUBSCRIBE to the TEDx channel: http://bit.ly/1FAg8hB

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share ...a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)Show More

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Cognitive Science: What Is It and Why Is It Important?

What is Cognitive Science? Cognitive Science is the study of thought, [...]

What is Cognitive Science?

Cognitive Science is the study of thought, learning, and mental organization, which draws on aspects of psychology major, linguistics, philosophy, and computer modeling.


Learn more about Cognitive Science ...Club at UC Davis at our website: http://cscucd.org/

The Cognitive Science Major/Field is made up of a diverse number of different majors, like linguistics, cognition, neurobiology, artificial intelligence, law, and many more.

Cognitive Science Careers and Jobs can span from graduate school to Medical or computer programming to business.

Cognitive Science Students may ask themselves things like: What job can I get with cognitive science? What does a Cognitive Science Lecture look like? How does the major effect Cognitive Artificial Intelligence?


Cognitive Science can be found at several unverisities:

University of California San Diego, Berkeley, Santa Cruz, Merced, Los Angeles (UCLA), Davis.

John Hopkins University, University of Delaware, University of Texas at Dallas, Stanford University, Yale University, Penn State,

There are even a number of TED talks about Cognitive Science.

Cognitive science is the interdisciplinary, scientific study of the mind and its processes.[2] It examines the nature, the tasks, and the functions of cognition. Cognitive scientists study intelligence and behavior, with a focus on how nervous systems represent, process, and transform information. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology.[3] The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."[3]

The cognitive sciences began as an intellectual movement in the 1950s, called the cognitive revolution, arguably initiated by Noam ChomskyShow More

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Meet Jasmine Wang, a senior student major in Cognitive Science w/computation specialization

Jasmine Wang is a senior student major in Cognitive Science [...]

Jasmine Wang is a senior student major in Cognitive Science w/computation specialization. In this video, she provided an insight of Cognitive Science major and talked about machine learning class and ...project that she took.

0:00 – Intro
0:18 – Why did you choose to study Cognitive Science?
1:32 – What is your favorite class?
2:31 – Can you tell us about a project you’ve worked on?
4:06 – Do you have any advice for incoming students?
4:50 – Do you need to know code to study computation?
5:57 – Did you encounter any difficulties? What advice do you have for students?Show More

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Neuroscience, AI and the Future of Education | Scott Bolland | TEDxSouthBank

Currently around 63% of students are disengaged at school, meaning [...]

Currently around 63% of students are disengaged at school, meaning that they withdrawal either physically or mentally before they have mastered the skills that are required to flourish in later ...life. In this talk Scott Bolland explores the science of learning, the mismatch between how we teach and how the brain natural learns, and the important role that artificial intelligence could take in addressing the limitations in our current education system.

Dr Scott Bolland is the founder of New Dawn Technologies, a high-tech software company aiming to revolutionise education through the use of artificial intelligence. He has spent the last 20 years actively researching and teaching in the field of cognitive science – the scientific study of how the mind works – which spans disciplines such as psychology, philosophy, neuroscience, artificial intelligence and computer science. He holds a PhD in this field, as well as a university medal for outstanding academic scholarship.


This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedxShow More

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What is Cognitive Science? - Was ist Kognitionswissenschaft?

Was ist Kognitionswissenschaft? Viele Universitäten biete heutzutage [...]

Was ist Kognitionswissenschaft?

Viele Universitäten biete heutzutage Kurse und Studiengänge aus dem Gebiet der Kognitionswissenschaft an. Aber was genau dieses Gebiet ist, können selbst erfahrene Studenten nur mit Mühe beantworten.
Dieser Film, ...entstanden in einem Studien Projekt von Studenten der Kognitionswissenschaft aus Osnabrück, versucht einen Einblick in die Disziplinen zu geben, aus denen sich die Kognitionswissenschaft zusammensetzt.

Sehen Sie sich den Film auf Lernfunk.de an:
http://video2.virtuos.uni-osnabrueck.de:8080/engage/ui/watch.html?id=d960e3f5-9012-41c3-8bbf-7345825d5e94

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What is Cognitive Science?

Many Universities nowadays offer courses or study programs in the field of "Cognitive Science". But when asked to summarize what this field actually is, even senior students struggle to answer.
This movie, created by Cognitive Science students from Osnabrück, Germany, tries to give an insight into the different disciplines that make up their subject of study.

Watch this movie on Lernfunk.de:
http://video2.virtuos.uni-osnabrueck.de:8080/engage/ui/watch.html?id=d960e3f5-9012-41c3-8bbf-7345825d5e94

We are especially grateful to all interviewees
Prof. Dr. Achim Stephan
Prof. Dr. Sven Walter
Prof. Dr. Peter König
Prof. Dr. Gordon Pipa
Prof. Dr. Joachim Hertzberg
Prof. Dr. Kai-Uwe Kühnberger
Prof. Dr. Gunther Heidemann
Prof. Dr. Oliver Vornberger
Prof. Dr. Nikola Kompa
Prof. Dr. Peter Bosch
Prof. Dr-Ing. Claus Rollinger

Narrated by Robet L. MuilShow More

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How can cognitive science inform the future of education? | Lindsay Portnoy

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Cognitive Science Rescues the Deconstructed Mind | John Vervaeke | TEDxUofT

Dr. John Vervaeke shows how modern science has broken our [...]

Dr. John Vervaeke shows how modern science has broken our understanding of the mind into multiple incompatible fragments, from anthropology, to biology, and sociology, and more. However, with cognitive science, ...we can begin to put the mind back together again. Dr. Vervaeke has been teaching cognitive science since 1994 and is one of the most cherished professors at the University of Toronto. Dr. Vervaeke has been teaching at the University of Toronto since 1994. He currently teaches in the Cognitive Science program, the Psychology department, and the Buddhism, Psychology and Mental Health program. He has won and been nominated for several teaching awards including the 2001 Students’ Administrative Council and Association of Part-time Undergraduate Students Teaching Award for the Humanities, and the 2012 Ranjini Ghosh Excellence in Teaching Award. His most recent publications include Relevance Realization the Emerging Framework in Cognitive Science (2012) with Tim Lillicrap and Blake Richards, and a forthcoming chapter entitled Relevance, Meaning, and the Cognitive Science of Wisdom with Leo Ferraro. His research interests are relevance realization, insight problem solving, general intelligence, consciousness, mindfulness, rationality, and wisdom. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedxShow More

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The view of consciousness in cognitive science and the philosophy of mind - Alva Noë

This is an excerpt from the interview with Alva Noë at the Science and [...]

This is an excerpt from the interview with Alva Noë at the Science and Nonduality Conference 2013 featured in the 3DVD set "Science and Nonduality Anthology Vol.4". In this clip ...Alva Noë discusses the view of consciousness in cognitive science and the philosophy of mind? For the full interview please visit: http://www.scienceandnonduality.com

Adyashanti, author of The Way of Liberation, Falling into Grace, True Meditation, and The End of Your World, is an American-born spiritual teacher devoted to serving the awakening of all beings. His teachings are an open invitation to stop, inquire, and recognize what is true and liberating at the core of all existence.

Asked to teach in 1996 by his Zen teacher of 14 years, Adyashanti offers teachings that are free of any tradition or ideology. "The Truth I point to is not confined within any religious point of view, belief system, or doctrine, but is open to all and found within all."

ALVA NOË
Alva Noë is a writer and philosopher at UC Berkeley, where he is also a member of the Institute for Cognitive and Brain Sciences and the Center for New Media. For the last decade or so his philosophical practice has concerned perception and consciousness. His current research focus is art and human nature.

Alva is the author of Out of Our Heads: Why You Are Not Your Brain and Other Lessons From The Biology of Consciiousness (Hill and Wang / Farrar Straus and Giroux, 2009) and Action in Perception (The MIT Press, 2004). The central idea of these books is that consciousness is not something that happens inside us -- not in our brains, or anywhere else; it is something we do.

Before coming to Berkeley in 2003, Alva taught in the department of philosophy at UC Santa Cruz. He received a PhD in philosophy from Harvard University in 1995; he has a BA from Columbia (1986) and a BPhil from Oxford Universiy (1986). He has been a fellow of the Wissenschaftskolleg zu Berlin (2007-2008). He is a research associate of the CNRS laboratory Institut Jean-Nicod in Paris. In the spring of 2003 he was a fellow of the Oxford Centre for Cognitive Neuroscience and in the 1995-1996 academic year he was a research fellow of the Center for Cognitive Studies at Tufts University. http://socrates.berkeley.edu/~noe/Show More

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Science of Learning: Interview with John Gabrieli

Watch as John Gabrieli, Director of the McGovern Institute for Brain [...]

Watch as John Gabrieli, Director of the McGovern Institute for Brain Research at MIT explains what neuroscience and cognitive science have to teach us about how the human brain learns. ...He has a lot of useful tips for how we can learn and teach better, at all ages. Learn more and enroll at https://www.edx.org/course/shaping-the-future-of-work-0?utm_campaign=mitx&utm_medium=partner-marketing&utm_source=email&utm_content=youtube-15.662x-gabrieliShow More

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Neuroscience and Artificial Intelligence Need Each Other | Marvin Chun | TEDxKFAS

Big data and fast computing have advanced both neuroscience and [...]

Big data and fast computing have advanced both neuroscience and artificial intelligence. The use of machine learning to compute vast amounts of brain data allows researchers to start reading out ...the mind and to predict behavior. In turn, the enormous power and efficiency of brain computing and cognition can inform artificial intelligence. For visual recognition tasks, brain-inspired deep learning algorithms now achieve near human-like performance. The marriage of brain science and machine learning will make both more useful for improving people’s lives.
Marvin Chun leads a cognitive neuroscience laboratory that uses brain imaging and machine learning to study how people see, attend, remember, and perform optimally. One line of work uses brain imaging to read out perceptions and thoughts. From brain scans, another project reveals and predicts what makes people different. He received his Ph.D. from MIT and his postdoctoral training at Harvard University. His research has been honored with several early-mid career awards, such as the Troland Research Award from the United States National Academy of Sciences, and the American Psychological Association Distinguished Scientific Award for an Early Career Contribution to Psychology. His undergraduate teaching of Introduction to Psychology, one of the largest classes in Yale College, has been recognized with both the Phi Beta Kappa William Clyde DeVane Medal for Distinguished Scholarship and Teaching, and the Lex Hixon '63 Prize for Teaching Excellence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedxShow More

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Noam Chomsky: Language, Cognition, and Deep Learning | Lex Fridman Podcast #53

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What is Cognitive AI? Cognitive Computing vs Artificial Intelligence | AI Tutorial | Edureka

🔥 PGP in AI and Machine Learning (9 Months Online Program) : [...]

🔥 PGP in AI and Machine Learning (9 Months Online Program) : https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka video on "Cognitive AI" explains cognitive computing and how it helps in making better human decisions ...at work. Also, it explains the differences between cognitive computing and artificial intelligence.
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Developers aspiring to be a ‘Machine Learning Engineer'
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If you are looking for live online training, write back to us at sales@edureka.in or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.Show More

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Cognitive systems - shaping the future with human and artificial intelligence

Artificial intelligence (AI), cognitive systems and machine learning [...]

Artificial intelligence (AI), cognitive systems and machine learning play a transformative role in bringing about the economy and society of the future. For international business and industrial value chains, this ...means a fundamental structural change, as these technical systems are capable of learning and are increasingly able to apply what they have learned to new situations. They can plan processes, make forecasts and even interact with people.

At many of its institutes, the Fraunhofer-Gesellschaft is developing key AI technologies and applications in such areas as robotics, image and language processing, and process optimization. This includes machine learning techniques for industry, the use of cognitive systems in cyber security and the requisite research into artificial neural networks. Our research makes major contributions to the theory and the ethical design of AI while also being closely aligned with the practical needs of our customers.

However, the use of new technologies not only offers exciting new opportunities: it also constantly presents us with challenges.

The development of cognitive systems needs not just technological solutions, but also social dialogue. Fears and myths must be countered with scientific facts. Machines will extend our sphere of influence, but they will not take over and become our leaders.






Footage:
Fraunhofer

Credits:
Art-Kon-Tor
Christian Friedrich 3D Artist
Claas
Conzeptzone
NRW.INVESTShow More

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1.1.2 Thinking humanly: The cognitive modeling approach

Artificial Intelligence A Modern Approach

Artificial Intelligence A Modern Approach

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Cognitive computing | Jerome Pesenti | TEDxBermuda

This talk was given at a local TEDx event, produced independently of [...]

This talk was given at a local TEDx event, produced independently of the TED Conferences. Jerome Pesenti, lead developer of IBM’s Jeopardy-winning Watson supercomputer, says development of software relying on ...natural language and machine learning needs new ways of gathering and treating data.

Jerome Pesenti, lead developer of IBM’s Jeopardy-winning Watson supercomputer, says development of software relying on natural language and machine learning needs new ways of gathering and treating data.

About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)Show More

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How Brain Computing Works (What Is Cognitive Computing)

Visit Our Parent Company EarthOne ➤ https://earthone.io/ This video is [...]

Visit Our Parent Company EarthOne ➤
https://earthone.io/

This video is the eleventh in a multi-part series discussing computing. In this video, we’ll be discussing what cognitive computing is and the impact ...it will have on the field of computing.

00:00 Intro

[0:28-5:09] What is Cognitive Computing - Starting off we'll discuss, what cognitive computing is, more specifically – the difference between current computing Von Neuman architecture and more biologically representative neuromorphic architecture and how these two paired together will yield massive performance and efficiency gains!

[5:09-10:46] Benefits of Cognitive Computing -Following that we’ll discuss, the benefits of cognitive computing systems further as well as current cognitive computing initiatives, TrueNorth and Loihi.

[10:46-17:11] Future of Cognitive Computing - To conclude we’ll extrapolate and discuss the future of cognitive computing in terms of brain simulation, artificial intelligence and brain-computer interfaces!

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Soundtrack ➤

♫ 00;00 "70" by Taylor King
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♫ 06;09 "Resonance" by HOME
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Difference between AI and Cognitive Computing-

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Introduction to Cognitive Science

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AI, Consciousness, Science, Art & Understanding - Joscha Bach

Joscha Bach on consciousness, it's relationship to qualia and whether [...]

Joscha Bach on consciousness, it's relationship to qualia and whether an AI or a utility maximizer would do with it.
OUTLINE:
0:07 Consciousness and it's importance
0:47 Phenomenal content
1:43 Consciousness and attention
2:30 When ...AI becomes conscious
2:57 Mary's Room - the Knowledge Argument, art, science & understanding
4:07 What is art? What is understanding & truth?
4:49 What interests an artist? Art as a communicative exercise
5:48 Thomas Nagel: What is it like to be a bat?
6:19 Feel good theories
7:01 Raw feels or no? Why did nature endow us with raw feels?
8:29 What is qualia, and is it important?
9:49 Insight addiction & the aesthetics of information
10:52 Would a utility maximizer care about qualia?

Blog: http://www.scifuture.org/ai-consciousness-science-art-understanding-joscha-bach/

What is consciousness? "I think under certain circumstances being conscious is an important part of a mind; it's a model of a model of a model basically. What it means is our mind (our new cortex) produces this dream that we take to be the world based on the sensory data - so it's basically a hallucination that predicts what next hits your retina - that's the world. Out there, we don't know what this is.. The universe is some kind of weird pattern generator with some quantum properties. And this pattern generator throws patterns at us, and we try to find regularity in them - and the hidden layers of this neural network amount to latent variables that are colors people sounds ideas and so on.. And this is the world that we subjectively inhabit - that's the world that we find meaningful."

... "I find theories [about consciousness] that make you feel good very suspicious. If there is something that is like my preferred outcome for emotional reasons, I should be realising that I have a confirmation bias towards this - and that truth is a very brutal vector"..

BIO:
Joscha Bach, Ph.D. is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. He earned his Ph.D. in cognitive science from the University of Osnabrück, Germany, and has built computational models of motivated decision making, perception, categorization, and concept-formation. He is especially interested in the philosophy of AI and in the augmentation of the human mind.

Joscha has taught computer science, AI, and cognitive science at the Humboldt-University of Berlin and the Institute for Cognitive Science at Osnabrück. His book "Principles of Synthetic Intelligence" (Oxford University Press) is available on amazon now:
https://www.amazon.com/Principles-Synthetic-Intelligence-PSI-Architectures/dp/0195370678


Follow Joscha Bach:
bach.ai
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Cognitive Science Major - Neuroscience Emphasis

What is Cognitive Science Major? Cognitive Science is the study of [...]

What is Cognitive Science Major?

Cognitive Science is the study of thought, learning, and mental organization, which draws on aspects of psychology major, linguistics, philosophy, and computer modeling.


Learn more about Cognitive ...Science Club at UC Davis at our website: http://cscucd.org/

The Cognitive Science Major/Field is made up of a diverse number of different majors, like linguistics, cognition, neurobiology, artificial intelligence, law, and many more.

Cognitive Science Careers and Jobs can span from graduate school to Medical or computer programming to business.

Cognitive Science Students may ask themselves things like: What job can I get with cognitive science? What does a Cognitive Science Lecture look like? How does the major effect Cognitive Artificial Intelligence?


Cognitive Science can be found at several unverisities:

University of California San Diego, Berkeley, Santa Cruz, Merced, Los Angeles (UCLA), Davis.

John Hopkins University, University of Delaware, University of Texas at Dallas, Stanford University, Yale University, Penn State,

There are even a number of TED talks about Cognitive Science.

Cognitive science is the interdisciplinary, scientific study of the mind and its processes.[2] It examines the nature, the tasks, and the functions of cognition. Cognitive scientists study intelligence and behavior, with a focus on how nervous systems represent, process, and transform information. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology.[3] The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."[3]

The cognitive sciences began as an intellectual movement in the 1950s, called the cognitive revolution, arguably initiated by Noam ChomskyShow More

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Cognitive Science Major - Anthropology Emphasis

What is Cognitive Science Major? Cognitive Science is the study of [...]

What is Cognitive Science Major?

Cognitive Science is the study of thought, learning, and mental organization, which draws on aspects of psychology major, linguistics, philosophy, and computer modeling.


Learn more about Cognitive ...Science Club at UC Davis at our website: http://cscucd.org/

The Cognitive Science Major/Field is made up of a diverse number of different majors, like linguistics, cognition, neurobiology, artificial intelligence, law, and many more.

Cognitive Science Careers and Jobs can span from graduate school to Medical or computer programming to business.

Cognitive Science Students may ask themselves things like: What job can I get with cognitive science? What does a Cognitive Science Lecture look like? How does the major effect Cognitive Artificial Intelligence?


Cognitive Science can be found at several unverisities:

University of California San Diego, Berkeley, Santa Cruz, Merced, Los Angeles (UCLA), Davis.

John Hopkins University, University of Delaware, University of Texas at Dallas, Stanford University, Yale University, Penn State,

There are even a number of TED talks about Cognitive Science.

Cognitive science is the interdisciplinary, scientific study of the mind and its processes.[2] It examines the nature, the tasks, and the functions of cognition. Cognitive scientists study intelligence and behavior, with a focus on how nervous systems represent, process, and transform information. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology.[3] The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."[3]

The cognitive sciences began as an intellectual movement in the 1950s, called the cognitive revolution, arguably initiated by Noam ChomskyShow More

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AI vs Machine Learning vs Deep Learning | AI vs ML vs DL - Differences Explained | Edureka

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 [...]

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning ...vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this AI vs ML vs DL tutorial:

1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning

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1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger.

Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Customer Review

Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."Show More