Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML A friendly explanation of how computer recognize images, based on Convolutional Neural Networks. All the math required is knowing how to add and subtract 1’s. (Bonus if you know calculus, but not needed.) For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw
Grokking Machine Learning Book: https://www.manning.com/books/grokking-machine-learning 40% discount promo code: serranoyt A friendly introduction to the main algorithms of Machine Learning with examples. No previous knowledge required. What is Machine Learning: (0:05) Linear Regression: (2:25) Gradient Descent: (4:10) Naive Bayes: (6:20) Decision Trees: (10:35) Logistic Regression: (13:20) Neural networks: (17:00) Support Vector Machines: (18:50) Kernel trick: (20:05) K-Means clustering: (26:00) Hierarchical Clustering: (28:30) Summary: (29:40) (Thanks to Nick Kartha for breaking down the topics!) If you like this, there’s an extended version in this playlist: https://www.youtube.com/playlist?list=PLAwxTw4SYaPknYBrOQx6UCyq67kprqXe3
January 09, 2018 Stuart Russell is an AI pioneer, author of “Artificial Intelligence: A Modern Approach” and Professor of Computer Science and Smith-Zadeh Professor in Engineering at the University of California, Berkeley. Sebastian Thrun is a professor of computer science at Stanford University.
Discussion points: – AI & the Value Loading problem – Improving the discourse around AI – Where have human ethics come from? – Human constraints don’t apply to artificial intelligecnce – An artificial intelligence could change it’s preferences 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 Many thanks for watching! Consider supporting SciFuture by: a) Subscribing to the SciFuture YouTube channel: http://youtube.com/subscription_center?add_user=TheRationalFuture b) Donating – Bitcoin: 1BxusYmpynJsH4i8681aBuw9ZTxbKoUi22 – Etherium: 0xd46a6e88c4fe179d04464caf42626d0c9cab1c6b – Patreon: https://www.patreon.com/scifuture c) Sharing the media SciFuture creates: http://scifuture.org Kind regards, Adam Ford – Science, Technology & the Future