Machine Learning Resources
Machine Learning Summer Schools:
Books:
- Python Machine Learning , by Sebastian Raschka
- Learning from Data , by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin
- Machine Learning Yearning , by Andrew Ng
- Bayesian Reasoning and Machine Learning , by David Barber
- The Elements of Statistical Learning , by Trevor Hastie, Robert Tibshirani and Jerome Friedman
- Information Theory, Inference, and Learning Algorithms, by David J.C. MacKay
- Introduction to Information Retrieval , by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze
- Introduction to Machine Learning , by Ethem Alpaydin
- Building Machine Learning Systems with Python , by Willi Richert & Luis Pedro Coelho
- Natural Image Statistics, by Aapo Hyvärinen, Jarmo Hurri and Patrik O. Hoyer
- The Quest for Artificial Intelligence - A History of Ideas and Achievements , by Nils J. Nilsson
- Gaussian Processes for Machine Learning , by Carl Edward Rasmussen and Christopher K. I. Williams
- Convex Optimization , by Stephen Boyd and Lieven Vandenberghe
- Hands-On Machine Learning with Scikit-Learn and TensorFlow, by Aurélien Géron
- Adaptive Computation and Machine Learning Books
- Mining of Massive Datasets, by Jure Leskovec, Anand Rajaraman and Jeff Ullman
- Machine Learning: a Probabilistic Perspective, by Kevin Patrick Murphy
- A Brief Introduction to Machine Learning for Engineers, by Osvaldo Simeone
Blogs:
- KDnuggets
- Machine Learning Mastery
- Analytics Vidhya
- Data Science Central
- Sebastian Raschka
- Andrej Karpathy Blog
- AWS AI Blog
- Artificial Intelligence Resources
- All AI Resources at one place
- Machine Learning is Fun!
- FEWER LACUNAE Blog, by Kevin Binz
- Sebastian's blog
- Machine Learning Reddit Blog
- Awesome Machine Learning
Machine Learning Cheat Sheets:
- Machine Learning Cheat Sheets
- Machine Learning Cheat Sheets 1, by Robbie Allen
- Machine Learning Cheat Sheets 2, by Stefan Kojouharov
- Machine Learning Cheat Sheets 3 , by Kailash Ahirwar
Open Courses for Machine Learning:
- Machine Learning Standford course, by Andrew Ng
- Machine Learning Caltech course, by Yaser Abu-Mostafa
- Scikit-learn Mooc course
- Practical Machine Learning Tutorial with Python
- Artificial General Intelligence, by MIT
- Machine Learning Crash Course, by Google
- Applied Machine Learning, by Andreas C. Müller
- Machine Learning CMU course, by Tom Mitchell
- Machine Learning course, by PEDRO DOMINGOS
- Machine Learning course, by Nando de Freitas
- Supervised Learning with scikit-learn, by DataCamp
- Statistical Computing for Scientists and Engineers, by Professor Nicholas Zabaras
- Machine Learning course, by ITP-NYU
- Machine Learning Videos
- Introduction to Artificial Intelligence
Tutorials:
- Scipy Lecture Notes
- Building Machine Learning Systems with Python, by Rao Muhammad Umer
- NIPS 2016 Wrokshop: links to Slides and Videos
- Machine Learning for Health @ NIPS 2016
- Machine Learning Summer School, Max Planck Institute for Intelligent Systems, Tübingen, Germany
- Machine Learning 101 , By Jason Mayes
- An end to end implementation of a Machine Learning pipeline, by SPANDAN MADAN
- A Guide to Machine Learning PhDs, by Benjamin Todd
- Python Machine Learning: Scikit-Learn Tutorial, by Karlijn Willems
- Introduction to machine learning in Python with scikit-learn (video series), by DataSchool
- artificial intelligence
- A Visual Guide to Evolution Strategies
- Machine Learning and AI Curriculum
- Machine Learning & Deep Learning Tutorials
- Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found , by Robbie Allen
- Best Machine Learning resources
- 27 Best AI, Data Science And Machine Learning Resources
- Machine Learning Recipes with Josh Gordon
- Predicting Article Shares With Machine Learning In The Digital Marketing Industry
Datasets:
Top Machine Learning Journals and Conferences:
- International Conference on Machine Learning (ICML)
- Conference on Neural Information Processing Systems (NIPS)
- International Conference on Learning Representation (ICLR)
- Conference on Computer Vision and Pattern Recognition (CVPR)
- Conference on Learning Theory (COLT)
- Journal of Machine Learning Research (JMLR)
- Knowledge Discovery and Data Mining (SIGKDD)
- Neural Computation
- Association for the Advancement of Artificial Intelligence (AAAI)
- Uncertainty in Artificial Intelligence (UAI)
- International Conference on Artificial Intelligence and Statistics (AISTATS)
- Machine Learning. Published by Springer
- Checkout Quora question: “What are the best conferences and journals about machine learning?“
- Checkout: Top 50 ranked journals in Artificial Intelligence