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Machine Learning & Deep Learning Resources

Pull requests are welcome. Please follow the guidelines.

List of Contents

• Course List
• Useful books
• Interview Resources
• Youtube Channels

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

Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville	Dive into Deep Learning	Hands On Machine Learning with Scikit Learn and TensorFlow
Deep learning with python by Keras creator and Google AI researcher François Chollet	Pattern Recognition and Machine Learning	Natural Language Processing with Python
Introduction to Machine Learning with Python: A Guide for Data Scientists	Data Mining: Practical Machine Learning Tools and Techniques	Machine Learning in Action
Foundations of Machine Learning	Python Data Science Handbook	Understanding Machine Learning: From Theory to Algorithms
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

Interview Resources

• What are the skills needed for a data scientist job?
• How do I learn machine learning?

Youtube Channels

Deeplearning.ai

Welcome to the official deeplearning.ai Youtube channel! Here you can find the videos from our Deep Learning specialization on Coursera.

Machine Learning & My Music.

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

Alfredo Canziani is an assistant professor of Computer Science at New York University. 14 weeks of Deep Learning (with PyTorch)

Michigan Online

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.

Two Minutes Papers

Awesome research for everyone. Two new science videos every week.

Lex Fridman

Videos exploring research topics in artificial intelligence, deep learning, autonomous vehicles, and beyond.

Volodymyr Kuleshov

Starting from the very basics, we cover all of the most important ML algorithms and how to apply them in practice.

Arxiv Insights

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.

sentdex

Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.

deeplizard

Building collective intelligence.

What's AI

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

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!