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6.58K

03:46

Two Minute Papers: How To Get Started With Machine Learning? #51

I get a lot of messages from you Fellow Scholars that you would like to get started in machine learning and are looking for materials. Below you find a ton of resources to get you started!

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05:28

Two Minute Papers: How Does Deep Learning Work? #24 •

Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired […]

08:37

Mike Schroepfer chats “AI 101 with Joelle Pineau” co-lead of the Meta (Facebook) AI Research Lab •

Facebook CTO Mike Schroepfer spoke with Joelle Pineau, a professor of computer science at McGill University who also co-leads the Meta (Facebook) AI Research lab. He asked her to walk us through some of the biggest questions people have about AI, including: What exactly is AI? And how can people trust the decisions made by […]

02:00

How does AI learn to finish your sentences? Learn about Smart Compose •

How does AI learn to say what you mean? AI systems can help you complete entire sentences that are specific to your conversation — as you’re typing. Check out this behind-the-scenes look at how AI learns to finish your sentences and read more about it on the Facebook AI Blog.

Computerphile deep learning video thumbnail.

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11:06

Computerphile: Deep Learning •

Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.

Stanford CS221 AI Lecture 4: Machine Learning 3 – Generalization, K-means

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01:23:07

Stanford CS221 AI Lecture 4: Machine Learning 3 – Generalization, K-means

Recorded in Autumn 2019 Topics: Generalization, Unsupervised learning, K-means

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Stanford CS221 AI Lecture 3: Machine Learning 2 – Features, Neural Networks

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01:22:23

Stanford CS221 AI Lecture 3: Machine Learning 2 – Features, Neural Networks

Recorded in Autumn 2019 Topics: Features and non-linearity, neural networks, nearest neighbours

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Stanford CS221 AI Lecture 2: Machine Learning 1 – Linear Classifiers, SGD (Stochastic Gradient Descent)

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01:20:34

Stanford CS221 AI Lecture 2: Machine Learning 1 – Linear Classifiers, SGD (Stochastic Gradient Descent)

Recorded in Autumn 2019 Topics: Linear classification, Loss minimization, Stochastic gradient descent

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2.16K

01:27:26

Stanford CS221 AI Lecture 1: Overview

Recorded in Autumn 2019 Topics: Overview of course, Optimization

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19.61K

01:08:06

MIT 6.S094 Deep Learning Basics: Introduction and Overview

An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entirely new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations […]

1.02M

MIT 6.0002 11. Introduction to Machine Learning

13.34K

51:31

MIT 6.0002 11. Introduction to Machine Learning

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016View the complete course: http://ocw.mit.edu/6-0002F16Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SAMore information at http://ocw.mit.edu/termsMore courses at http://ocw.mit.edu

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MIT AGI: Cognitive Architecture (Nate Derbinsky)

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01:30:52

MIT AGI: Cognitive Architecture

This is a talk for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.

43.99K

Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)

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01:17:38

MIT AGI: How the Brain Creates Emotions

This is a guest talk part of MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.

64.49K

Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)

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01:55:04

MIT AGI: Computational Universe

This is a talk by Stephen Wolfram for MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.

115.27K

52:29

MIT AGI: Future of Intelligence

This is a talk by Ray Kurzweil for course 6.S099: Artificial General Intelligence. Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.

01:35:09

MIT AGI: Building machines that see, learn, and think like people.

This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.

51:19

MIT AGI: Artificial General Intelligence

This is the opening lecture for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.