Lecture 1 — Human Computer Interaction | Stanford University
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Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction"
Paper: https://aclanthology.org/2023.findings-eacl.125/
Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion"
Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization"
Paper: https://aclanthology.org/W17-2407.pdf
Paper Title: "Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation"
Paper: https://dl.acm.org/doi/abs/10.1145/3132847.3133106
Paper Title: "Neural Diverse Abstractive Sentence Compression Generation"
Paper: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_14
Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction"
Paper: https://aclanthology.org/2023.findings-eacl.125/
Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion"
Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization"
Paper: https://aclanthology.org/W17-2407.pdf
Paper Title: "Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation"
Paper: https://dl.acm.org/doi/abs/10.1145/3132847.3133106
Paper Title: "Neural Diverse Abstractive Sentence Compression Generation"
Paper: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_14
Lecture 1 — Human Computer Interaction | Stanford University
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Lecture 2 — The Power of Prototyping | HCI | Stanford University
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Lecture 3 — Evaluating Designs | HCI | Stanford University
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Lecture 4 — The Birth of HCI | Stanford University
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Lecture 5 — Participant Observation | HCI Course | Stanford University
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Lecture 6 — Interviewing | HCI Course | Stanford University
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Lecture 7 — Additional Needfinding Strategies | HCI Course | Stanford University
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Lecture 8 — Creating Design Goals | HCI Course | Stanford University
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Lecture 9 — IDEO Cart Design Observation | HCI Course | Stanford University
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Lecture 10 — Storyboards, Paper Prototypes, and Mockups | HCI | Stanford University
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Lecture 11 — Faking it - Wizard of Oz | HCI Course | Stanford University
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Lecture 12 — Faking it - Video Prototyping | HCI Course | Stanford University
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Lecture 13 — Creating and Comparing Alternatives | HCI | Stanford University
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Lecture 14 — Heuristic Evaluation - Why and How | HCI Course | Stanford University
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Lecture 15 — Design Heuristics - (Part 1) | HCI Course | Stanford University
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Lecture 16 — Design Heuristics - (Part 2) | HCI Course | Stanford University
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Lecture 17 — Mental Models | HCI Course | Stanford University
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Lecture 18 — Representation Matters | HCI Course | Stanford University
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Lecture 19 — Distributing Cognition - (Part 1) | HCI Course | Stanford University
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Lecture 20 — Distributing Cognition - (Part 2) | HCI Course | Stanford University
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Lecture 21 — Visual Design | HCI Course | Stanford University
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Lecture 22 — Typography | HCI Course | Stanford University
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Lecture 23 — Grids and Alignment | HCI Course | Stanford University
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Lecture 24 — Reading and Navigating | HCI Course | Stanford University
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Lecture 25 — Designing Studies You Can Learn From | HCI | Stanford University
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Lecture 26 — Assigning Participants to Conditions | HCI Course | Stanford University
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Lecture 27 — In Person Experiments | HCI Course | Stanford University
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Lecture 28 — Running web experiments - (Introduction) | HCI | Stanford University
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Lecture 29 — Running web experiments - (Part 2) | HCI | Stanford University
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Lecture 30 — Running web experiments - (Part 3) | HCI Course | Stanford University
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Lecture 31 — Comparing rates | HCI Course | Stanford University
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Lecture 32 — Reflections on HCI | HCI Course | Stanford University
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AI For Everyone LESSON 1: Introduction to Artificial Intelligence for Absolute Beginners
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In these lessons we will ...be using a logitech webcam. If you use the identical camera that I have, you will be ensured to get the same results. I suggest your life will be easier if you use the same camera I am using, available from Amazon below:
https://amzn.to/3iwgIW0
In this video I give an easy to understand description of what Artificial Intelligence is, and describe the things you will be learning in this series of lessons. This class will be based on Python running on a Windows 10 PC. We will be using openCV to do the work. I will teach OpenCV, but it would be good if you have basic familiarity with Python.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#ArtificialIntelligence
#Python
#OpenCV
https://www.patreon.com/PaulMcWhorter
In these lessons we will ...be using a logitech webcam. If you use the identical camera that I have, you will be ensured to get the same results. I suggest your life will be easier if you use the same camera I am using, available from Amazon below:
https://amzn.to/3iwgIW0
In this video I give an easy to understand description of what Artificial Intelligence is, and describe the things you will be learning in this series of lessons. This class will be based on Python running on a Windows 10 PC. We will be using openCV to do the work. I will teach OpenCV, but it would be good if you have basic familiarity with Python.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#ArtificialIntelligence
#Python
#OpenCV
AI For Everyone LESSON 1: Introduction to Artificial Intelligence for Absolute Beginners
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AI for Everyone LESSON 2: Running Two Different Versions of Python on the Same Computer
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AI for Everyone LESSON 3: Understanding and Using Python Virtual Environments
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AI for Everyone LESSON 4: Installing and Configuring Visual Studio Code on Windows 10
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AI for Everyone LESSON 4 SUPPLEMENTAL: Visual Studio Code Not Finding Python or Virtual Environments
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AI for Everyone LESSON 5: Installing OpenCV in Windows and Launching WEBCAM
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AI for Everyone LESSON 5 HOMEWORK SOLUTION: Displaying Multiple OpenCV Video Windows
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AI for Everyone LESSON 6: Faster Launch of WEBcam and Smoother Video in OpenCV on Windows
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Managing Multiple Windows Size and Position in OpenCV
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AI for Everyone LESSON 7: Understanding Pictures and Images as Data Arrays
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AI for Everyone LESSON 7: HOMEWORK SOLUTION, Creating Checkerboard Pattern in OPENCV
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AI for Everyone LESSON 8: Putting Text, Rectangles and Circles on Images in OpenCV
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AI for Everyone LESSON 8: HOMEWORK SOLUTION Calculating Frames Per Second (FPS) in OpenCV
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AI for Everyone LESSON 9: Understanding Region of Interest (ROI) in OpenCV
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AI for Everyone LESSON 9: HOMEWORK SOLUTION Understanding ROI in OpenCV
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AI for Everyone LESSON 10: Processing Mouse Clicks and Events in OpenCV
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AI for Everyone LESSON 10: HOMEWORK SOLUTION Create a Region of Interest with the Mouse
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AI for Everyone LESSON 11: Creating and Using Trackbars in OpenCV
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AI for Everyone LESSON 11: HOMEWORK SOLUTION Creating and Using Trackbars in OpenCV
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AI for Everyone LESSON 12: Understanding the HSV Color Space
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AI for Everyone LESSON 12: HOMEWORK SOLUTION Understanding the HSV Color Space
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AI for Everyone LESSON 13: Tracking an Object Based on Color in OpenCV
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AI for Everyone LESSON 13: HOMEWORK SOLUTION Tracking an Object Based on Color in OpenCV
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AI for Everyone LESSON 14: Understanding Contours in OpenCV
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AI for Everyone LESSON 14: HOMEWORK SOLUTION Understanding Contours in OpenCV
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AI for Everyone LESSON 15: Face Detection using OpenCV
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AI for Everyone LESSON 15: HOMEWORK SOLUTION EDITION Face Detection using OpenCV
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AI for Everyone LESSON 16: Face Recognition with OpenCV
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AI for Everyone LESSON 16: HOMEWORK SOLUTION Face Recognition with OpenCV
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AI for Everyone LESSON 17: Walk Through Your File System with os.walk
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AI for Everyone LESSON 17: HOMEWORK SOLUTION Automatically Train Your Face Recognition Model
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AI for Everyone LESSON 18: Mediapipe for Hand Detection and Pose Estimation
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AI for Everyone HOMEWORK SOLUTION 18: Parsing Mediapipe Landmark Data
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AI for Everyone LESSON 19: Create Python Games in OpenCV Using Mediapipe
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AI for Everyone LESSON 19 HOMEWORK SOLUTION: Gesture Based Pong Arcade Game
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AI for Everyone LESSON 20: Determine Right and Left Hands in Mediapipe
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AI for Everyone LESSON 20 HOMEWORK SOLUTION: Gesture Based Classic Pong Arcade Game with Mediapipe
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AI for Everyone LESSON 21: Real Time Pose Estimation with Mediapipe and Python
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AI for Everyone LESSON 21 HOMEWORK SOLUTION: Parsing Pose and Hand Landmark Data in Mediapipe
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AI for Everyone LESSON 22: Super Fast Face Detection Using Mediapipe
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AI for Everyone LESSON 22 HOMEWORK SOLUTION: parsing Mediapipe Pose, Face and Hand Landmarks
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AI for Everyone LESSON 23 : Parsing Mediapipe Pose, Face Mesh and Hand Landmarks
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AI for Everyone LESSON 23 SOLUTION: Parsing Mediapipe Pose, Face Mesh and Hand Landmarks
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AI for Everyone LESSON 24: Introduction to Using MediaPipe for Gesture Detection and Recognition
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AI for Everyone LESSON 25: First Attempt at Using MediaPipe for Gesture Detection
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AI for Everyone LESSON 26: Accurate Gesture Recognition using Python and MediaPipe
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AI for Everyone LESSON 27: Improved Gesture Recognition in Python and MediaPipe
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AI for Everyone LESSON 28: Storing and Loading Gesture Training Data in Mediapipe
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AI for Everyone LESSON 29: Control of Real World Objects with Gesture Recognition in Mediapipe
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AI for Everyone LESSON 30: Concluding Thoughts on AI Class
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