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Here are some ressources related to Education, Machine learning, University courses. Hoping you will find learning material, alternative tools or just some interesting stuff.

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Articles

CS109a: Introduction to Data Science – Resources
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Learning to think critically about machine learning
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Ancient secrets of computer vision
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Introduction to Robotics
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Stanford MLSys Seminar Series
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DeepMind AI reading list [pdf]
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Stanford Class on Deep Multi-Task and Meta-Learning
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A complete 4-year course plan for an AI undergraduate degree
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Natural Language Processing with Deep Learning
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A new course to teach people about fairness in machine learning
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Open Machine Learning Course
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The Math Required for Machine Learning
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Reinforcement Learning Jupyter Notebooks
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CS 189: Introduction to Machine Learning
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CS109 Data Science
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Computer Vision by Andrew Ng – Lessons Learned
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A list of 600 new free MOOCs
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Confession as an AI researcher; seeking advice
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CS 20SI: Tensorflow for Deep Learning Research
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Artificial Intelligence Graduate Certificate
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CS 294 Deep Reinforcement Learning, Spring 2017
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Data Science: CSCI E-109 Publication Listing
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Statistical Machine Learning, Spring 2016
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CS221: Artificial Intelligence: Principles and Techniques
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Artificial Intelligence Lecture Videos
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Harvard University – CS109 Data Science
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Oxford University Machine Learning Course
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What does it mean for an algorithm to be fair?
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Deep Learning – Course 11-785
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Introduction to Modern Brain-Computer Interface Design
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Machine Learning Course by Tom Mitchell
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CMU's Introduction to Machine Learning Course
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Should you submit to Hacker News?
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Oberon – The Overlooked Jewel [pdf]
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Introduction to Machine Learning
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Final project reports from 2012 Stanford Machine Learning class
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My Education in Machine Learning via Cousera, A Review So Far
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SML: Scalable Machine Learning Class (with video lectures)
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Learning From Data - Online Course
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Complete, stand alone Stanford machine learning course notes
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Online graduate-level machine learning course from CMU's Tom Mitchell
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OpenClassroom: Free video courses from Stanford University
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Quantum Algorithms for Lattice Problems – Update on April 18
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An Open Course on LLMs, Led by Practitioners
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