Cognitive Computing – Techiespedia.org

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.

Building Cognitive Applications with Watson by Jonathan Kaufman

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

Nuts and Bolts of Applying Deep Learning (Andrew Ng)

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

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

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

Overview of ai-one Nathan Technology June 2013

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

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

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

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

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

Prediction Machines: The Simple Economics of Artificial Intelligence

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

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

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

Napoleonic Wars: Battle of Austerlitz 1805

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

What’s The Difference Between Artificial Intelligence And Machine Learning

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

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

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

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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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.

Information Processing Theory Explained

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

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

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

Class Takeaways— People Analytics

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

Class Takeaways— People Analytics

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

Information Processing Theory - Classroom Applications

Class Takeaways — The Frinky Science of the Human Mind

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

Baba Shiv: How to Make Better Decisions

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

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.

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 [...]

Cognitive Science

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

CASBS Cross Talk: Artificial Intelligence and cognitive science Pt 3

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

Cognitive Science - UCSC Majors

Learn about majoring in Cognitive Science at UCSC

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 [...]

Artificial Intelligence and Cognitive Science - Seminar by Francesco Bianchini

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

Your Brain Hallucinates Your Conscious Reality | Anil Seth | TED

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

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

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

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 Chomsky

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

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

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

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

What is Cognitive Science? - Was ist Kognitionswissenschaft?

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

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

Watch the newest video from Big Think: https://bigth.ink/NewVideo Join [...]

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Cognitive Science Rescues the Deconstructed Mind | John Vervaeke | TEDxUofT

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

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/

Science of Learning: Interview with John Gabrieli

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

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

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

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

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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#edureka #edurekaDatascience #artificialIntelligence #CognitiveAI

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Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

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Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning

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Who should go for this course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

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.

Cognitive systems - shaping the future with human and artificial intelligence

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

1.1.2 Thinking humanly: The cognitive modeling approach

Artificial Intelligence A Modern Approach

Cognitive computing | Jerome Pesenti | TEDxBermuda

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

How Brain Computing Works (What Is Cognitive Computing)

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

Difference between AI and Cognitive Computing-

Introduction to Cognitive Science

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
x.com/plinz
liquid.ai

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- Science, Technology & the Future

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 Chomsky

Cognitive Science Major - Anthropology Emphasis

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

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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#edureka #AIvsMLvsDL #MLvsDL #PythonTutorial #PythonMachineLearning #PythonTraining #machinelearning #artificialintelligence #deeplearning

About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

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."