Machine Learning Resources

Deploying models

https://github.com/chiphuyen/machine-learning-systems-design

Text books

• Michael Nielsen: Neural networks and deep learning with associated code
• Sebastian Raschka & Vahid Mirjalili: Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition with associated code
• Sebastian Raschka: Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python (in development)

Papers

• https://github.com/terryum/awesome-deep-learning-papers (as of 9/14/18 Latest commit 7bc2b16 on Oct 3, 2017)
• https://adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html
• https://paperswithcode.com/sota
• https://www.youtube.com/user/keeroyz/videos

Popular articles/Blogs

• Vishal Maini: Machine Learning for Humans
• Analytics Vidhya: machine learning blog
• Pete Warden
• Lukas Biewald
• Machine Learning Mastery
• Machine Learning Glossary

Forums

• Reddit: machine learning
• Reddit: learn machine learning

YouTube videos

• Google Developers: Hello World - Machine Learning Recipes #1

Tutorials

• Sebastian Raschka: Pattern recognition
• Aymeric Damien: TensorFlow-Examples
• Avik Jain: 100 days of ML code
• Donne Martin: data science ipython notebooks (deep learning, scikit-learn)
• Kailash Ahirwar: Essential Cheat Sheets for deep learning and machine learning researchers

Datasets

https://www.datasetlist.com/

Courses (free)

• Sebastian Raschka: Machine Learning course (STAT 479) at University Wisconsin-Madison; Fall Semester 2018
• Trevor Hastie: Statistical Learning at Stanford University
• fast.ai: Deep neural networks

Courses (paid)

• Coursera: machine learning
• Coursera: deep learning
• Google Developers: machine learning crash course
• Udemy: Python for Data Science and Machine Learning Bootcamp

Python packages

https://github.com/topics/machine-learning

• scikit-learn: Machine learning in Python
• tensorflow: Machine learning and deep neural networks
• keras: Deep learning
• pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration
• pymc3: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
• mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries
• tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming
• earthml: Machine learning and visualization in Python for Earth science