Video of lecture at Stanford University course SC-152 October 29, 2019 Topics: Cognitive Architecture, Soar, Executive Function, Reactive and Deliberative systems, Marr’s levels of abstraction, Lida, Copycat/Metacat, architecture of conversational agents. YouTube Source for this AI Video
Unsupervised learning is the most exciting subfield of machine learning! Finding structure in unstructured data automatically sounds like a dream come true, no need to have a label! In this video, I’ll demonstrate 2 types of unsupervised learning techniques; k means clustering and principal component analysis. We’ll use these techniques on neural data from a […]
Tensorflow experiment link: https://www.reddit.com/r/MachineLearning/comments/4eila2/tensorflow_playground/d20noqu/ Karpathy’s classifier neural network: https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Eric Haddad, Eric Martel, […]
On Wednesday, January 25, 2017, Baidu chief scientist, Coursera co-founder, and Stanford adjunct professor Andrew Ng spoke at the Stanford MSx Future Forum. The Future Forum is a discussion series that explores the trends that are changing the future. During his talk, Professor Ng discussed how artificial intelligence (AI) is transforming industry after industry.
Professor Andrew Ng is the former chief scientist at Baidu, where he led the company’s Artificial Intelligence Group. He is an adjunct professor at Stanford University. In 2011 he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class that was offered to over […]
Subscribe here: https://goo.gl/9FS8uF Check out the previous episode: https://youtu.be/uuxoThzFPPw Become a Patreon!: https://www.patreon.com/ColdFusion_TV IBM Watson: https://youtu.be/yXcDir9Y9CI Google’s Deep Mind: https://youtu.be/TnUYcTuZJpM Hi, welcome to ColdFusion (formerly known as ColdfusTion). Experience the cutting edge of the world around us in a fun relaxed atmosphere. Sources: https://googleblog.blogspot.com.au/2016/01/alphago-machine-learning-game-go.html Dartmouth Artificial Intelligence (AI) Conference http://www.computerworld.com/article/2906336/emerging-technology/what-is-artificial-intelligence.html http://www.computerworld.com/article/3040563/enterprise-applications/5-things-you-need-to-know-about-ai-cognitive-neural-and-deep-oh-my.html http://www.alanturing.net/turing_archive/pages/reference%20articles/what%20is%20ai.html http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html https://www.quora.com/What-are-the-main-differences-between-artificial-intelligence-and-machine-learning http://www-formal.stanford.edu/jmc/whatisai/node1.html […]
Recorded in Autumn 2019 Topics: Generalization, Unsupervised learning, K-means
Recorded in Autumn 2019 Topics: Features and non-linearity, Neural networks, nearest neighbors
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
Recorded in Autumn 2019 Topics: Overview of course, Optimization
Machine Learning Discussion with Daphne Koller and Yoshua Bengio at the International Conference on Learning Representations (ICLR).