Machine Learning & Deep Learning Resources
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List of Contents
Course List
- Practical Deep Learning for Coders
- Deep Learning in Computer Vision Coursea
- Start with machine learning
- Introduction to Deep Learning by MIT course
- Machine Learning Course by Andrew Ng (Stanford University)
- Stanford CS229 - Machine Learning
- Machine Learning Course (fast.ai)
- Deep Learning Course by Andrew Ng
- Intensive machine learning course by Google
- DEEP LEARNING · SPRING 2020 · NYU CENTER FOR DATA SCIENCE
- Made With ML Topics
- Deep Reinforcement Learning from beginner to expert
- NLP Course | For You
- Introduction to Deep Learning (TUM)
- Foundations of Deep Learning (Maryland)
- Deep Unsupervised Learning (Berkeley)
- Deep Reinforcement Learning (Berkeley)
- Full Stack Deep Learning
- Introduction to Machine Learning Course(Udacity)
- Intro to Deep Learning with PyTorch(Udacity)
Useful books
Interview Resources
Youtube Channels
Welcome to the official deeplearning.ai Youtube channel! Here you can find the videos from our Deep Learning specialization on Coursera.
This channel contains computer science teaching and research videos by Prof. Arti Ramesh. She obtained her PhD from University of Maryland, College Park.
Alfredo Canziani is an assistant professor of Computer Science at New York University. 14 weeks of Deep Learning (with PyTorch)
Michigan Online is your destination for online learning opportunities created by the University of Michigan. Here, you will find videos from online learning experiences developed by faculty experts and instructional teams at the University of Michigan.
Awesome research for everyone. Two new science videos every week.
Videos exploring research topics in artificial intelligence, deep learning, autonomous vehicles, and beyond.
Starting from the very basics, we cover all of the most important ML algorithms and how to apply them in practice.
In this channel I try to summarize my core take-aways from a technical point of view while making them accessible for a bigger audience.
Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.
Building collective intelligence.
Hi, I am Louis (loo·ee, French pronunciation), from Montreal, Canada, also known as "What's AI". I try to share and explain artificial intelligence terms and news the best way I can for everyone. My goal is to demystify the AI “black box” for everyone and sensitize people about the risks of using it.
Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. Making neural nets uncool again!