Videos, Tutorials, and Blogs

Talks and Podcasts

• AI and Deep Learning
• a16z Podcast: The Product Edge in Machine Learning Startups
• When Humanity Meets AI

Other Talks and Podcasts

• “Large-Scale Deep Learning for Intelligent Computer Systems”, Google Tech Talk with Jeff Dean at Campus Seoul, March 2016.
• Prof. Geoff Hinton Neural Networks for Machine Learning, Coursera Lectures 2012.
• Deep Learning and Understandability versus Software Engineering and Verification, Peter Norvig, 2016.
• Accelerating Understanding: Deep Learning, Intelligent Applications, and GPUs. Yann LeCun, director of AI research at Facebook and professor of data science, computer science, neural science and electrical engineering at NYU.
• A DARPA Perspective on Artificial Intelligence. John Launchbury, the Director of DARPA’s Information Innovation Office (I2O).

Tutorials

• Welch Labs introduction to neural networks, a handful of 4-5 minute, well done videos
• Google’s Tensorflow tutorial
• Google’s 3-hour course Learn TensorFlow and deep learning, without a Ph.D.
• Stanford’s Deep Learning Tutorial
• Watch technical talks from various past Machine Learning Summer Schools or check out videos from the 2016 Deep Learning Summer School

MOOCs

• The classic: Coursera Machine Learning by Andrew Ng
• Udacity Introduction to Machine Learning
• Udacity Deep Learning by Google
• “The trinity”: Stanford class CS221: Artificial Intelligence: Principles and Techniques by Percy Liang, Stanford class CS224N Natural Language Processing with Deep Learning by Christopher Manning and Richard Socher, YouTube playlist, Stanford class CS231N: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li and Andrej Karapthy
• EdX Introduction to AI
• Carnegie Mellon’s Introduction to Machine Learning, followed up by Statistical Machine Learning
• MIT’s Artificial Intelligence with Patrick Henry Winston
• List (and reviews) of top 5 online classes, curated by Arthur Chan
• Fast.ai’s 7-week Practical Deep Learning, taught by Jeremy Howard (past president of Kaggle, founder of Enlitic and fast.ai)

Blogs and sites

• Andrej Karpathy blog, check out Unreasonable effectiveness of RNN
• KDNuggets: News, stories, job posts, data sets about machine learning (not just deep learning)
• Algobeans: great layman’s explanations of analytics concepts
• Arthur Chan’s blog
• Andrew Gibiansky’s occasionally updated blog posts explaining basic concepts
• Christopher Olah’s blog
• Edwin Chen’s blog
• Ujjwal Karn with occasional explanatory posts on data science
• Three Challenges for Artificial Intelligence in Medicine on the Cardiogram blog
• Deep Learning for NLP Best Practices

Mailing lists

• Azeem Azhar’s The Exponential View
• CognitionX AI News Briefing
• David Lissmyr’s AI Weekly
• Denny Britz’s The Wild Week in AI
• Jack Clark’s Import AI
• O’Reilly Data and AI Newsletter
• Sam DeBrule’s Machine Learnings, A Weekly Roundup of ML and AI News
• Not all about AI/ML, but plenty of interesting content too: Benedict Evans’ Newsletter

Podcasts

• Matt Fogel’s curated list of the Top 10 Best AI, Data Science and Machine Learning Podcasts
• Nvidia’s The AI Podcast
• Katie Malone and Ben Jaffe host a fun, conversation-style podcast called Linear Digressions that explains how things work
• Sam Charrington’s This Week in Machine Learning & AI

Books

• The most popular textbook, Artificial Intelligence, 3rd edition by Stuart Russell and Peter Norvig
• Michael Nielsen’s online book Neural Networks and Deep Learning
• Andrew Ng’s Deep Learning Yearning
• Textbook: Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
• Reinforcement Learning and its Relationship to Supervised Learning

Other

• Check out Siraj Raval’s Artificial Intelligence Education YouTube channel. (Here’s a video on AI generated music.)
• Have fun at Google’s browser-based AI Experiments site
• Keep up to date with Artificial Intelligence research papers at arXiv.org
• Because there are too many papers to actually read, try @kaparthy’s arXiv Sanity browser
• Check out the latest articles about machine learning at Distill
• Stanford University 100 Year Study on AI
• Summary of Schmidhumber’s long history and introduction by Annalyn Ng and Kenneth Soo
• McKinsey study on AI and jobs
• Dive into the Machine Learning For Software Engineers rabbithole
• Quora is continually adding Q&A around relevant topics such as Artificial Intelligence, Machine Learning, and Artificial Neural Networks.
• A curated list of how people are using AI to do creative things like write music, write stories, and create paintings.
• Along those lines, try @hardmaru’s Instagram feed full of deep learning generated sketches. Fun!
• Fast AI’s Jupyter Notebook Enhancements, Tips and Tricks