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AI Engineer
AI Deep Explorer | f... • 2m
Old is Gold: Deep Learning Classics In the fast-paced world of AI, it’s easy to overlook the timeless gems that laid the foundation for modern deep learning. Here’s a curated list of classic, high-quality courses taught by pioneers of the field that are still incredibly valuable for understanding the why behind the how. Whether you’re just starting out or revisiting fundamentals, these lectures are pure gold: 1. Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014) https://work.caltech.edu/lectures.html 2. Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013) https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH 3. A.I - MIT by Patrick Henry Winston (2010) https://ocw.mit.edu/courses/6-034-artificial-intelligence-fall-2010/resources/lecture-videos/ 4.Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013) https://web.mit.edu/course/other/i2course/www/vision_and_learning_fall_2013.html 5.Deep Learning for Natural Language Processing - Stanford(2017) https://cs224d.stanford.edu/ 6.Machine Learning - Oxford (2014-2015) https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ 7.Graduate Summer School: Deep Learning, Feature Learning by Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Andrew Ng, Nando de Freitas and several others @ IPAM, UCLA (2012) https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA 8. Deep Learning - UWaterloo by Prof. Ali Ghodsi at University of Waterloo (2015) https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE 9. Statistical Machine Learning - CMU by Prof. Larry Wasserman https://www.youtube.com/watch?v=azaLcvuql_g&list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r 10. MIT 6.S191: Introduction to Deep Learning https://introtodeeplearning.com/ 11. Berkeley CS 294: Deep Reinforcement Learning https://rail.eecs.berkeley.edu/deeprlcourse/ 12. Practical Deep Learning For Coders by Jeremy Howard - Fast.ai https://course.fast.ai/ 13. Introduction to Deep Learning by Prof. Bhiksha Raj (2017) https://deeplearning.cs.cmu.edu/S25/index.html 14. AI for Everyone by Andrew Ng (2019) https://www.deeplearning.ai/courses/ai-for-everyone/ 15. Spinning Up in Deep Reinforcement Learning - A free deep reinforcement learning course by OpenAI (2019) https://spinningup.openai.com/en/latest/ 16. Deep Learning - UC Berkeley | STAT-157 by Alex Smola and Mu Li (2019) https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW
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