- Machine Learning Glossary
- Machine Learning Glossary by Google
- BOOK Mathematics for Machine Learning
- Sklearn User Guide
- Linear Algebra Visually Explained
- Linear Algebra Notes from the Deep Learning book from Ian Goodfellow
- Linear Algebra Khan Academy
- Kaggle Courses
- Visualizing Machine Learning
- The best Data Science courses on the internet, ranked by your reviews
- https://ai.google/
- Guide to Reading Academic Research Papers
- Must read papers on machine learning for a beginner
- Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series
- https://realpython.com/ - tutorials and blog posts
- Practical Business Python
- A list of 200+ data science blogs
- https://activewizards.com/blog/ - data science and machine learning blog
- https://leanpub.com/universities/set/jhu/chromebook-data-science - free online educational to help anyone who can read, write, and use a computer to move into data science
- https://www.kdnuggets.com/2018/08/data-visualization-cheatsheet.html
- https://www.visualcinnamon.com/portfolio/
- https://bl.ocks.org/
- https://solutionsreview.com/business-intelligence/top-20-best-data-science-books-you-should-read/
- [https://github.com/wesm/pydata-book](Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media)
- https://seeing-theory.brown.edu/basic-probability/index.html - Interactive Visual Introduction to Probability and Statistics
- https://www.analyticsvidhya.com/blog/ - blog
- Machine Learning Mastery
- https://sgfin.github.io/learning-resources/ - Machine Learning Resources
- Microsoft Azure Machine Learning Studio
- Machine Learning Flashcards by Chris Albon
- Data School - Blog posts and video series for Data Science and Machine Learning
- Introducing the Facebook Field Guide to Machine Learning video series
- https://pair-code.github.io/what-if-tool/ - inspect a machine learning model, with no coding required.
- Google AI PAIR initiative
- Machine Learning Glossary
- Machine Learning tips and tricks cheatsheet by Stanford
- http://themlbook.com/
- Oracle - Demystifying Machine Learning
- Machine Learning: A Probabilistic Perspective by Murphy
- Deep Learning by Goodfellow
- Deep learning with Python
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series) by Kirill Eremenko
- https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/
- http://d2l.ai/index.html - An interactive deep learning book for students, engineers, and researchers.
- http://playground.tensorflow.org/ - an interactive visualization of neural networks
- http://www.fast.ai/ - Free courses for machine learning, deep learning and linear algebra
- Practical Deep Learning For Coders by fast.ai Part 1 - free course
- Practical Deep Learning For Coders by fast.ai Part 2 - free course
- Notes from Coursera Deep Learning courses by Andrew Ng
- Natural Language Processing with Deep Learning (Winter 2017) by Stanford University - free video lectures
- https://deeplearning.mit.edu/
- https://distill.pub/2019/activation-atlas/
- https://stanford.edu/~shervine/teaching/cs-230/
- Chris Albon's site - Code Recepies for Python, Statistics, Data Science, Machine Learning, Deep Learning, Regular Expressions and more.
- DataCamp - Free and paid courses
- DataCamp Community - Free tutorials, cheat sheets, blog and podcast
- DataCamp 2 months subscription using the Visual Studio subscriptions
- DataCamp For The Classroom - DataCamp is 100% free when you need it for your classroom. Even the premium content!
- Microsoft Professional Program for Artificial Intelligence
- Andrew Ng's profile at Coursera - free Machine Learning and Deep Learning courses
- https://skymind.ai/wiki/
- Khan Academy - Includes Algebra, Calculus, Statistics and probability, and many other subjects.
- https://www.quora.com/Data/Where-can-I-find-large-datasets-open-to-the-public
- Google Dataset Search Beta
- Kaggle
- https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
- https://archive.ics.uci.edu/ml/datasets.html
- https://opendata.cityofnewyork.us/
- https://www.gapminder.org/data/
- https://data.cityofchicago.org
- https://github.com/googlecreativelab/quickdraw-dataset
- https://mmspg.epfl.ch/food-image-datasets - food 5k dataset
- https://serialmentor.com/dataviz/ - Free online book for Data Visualization
- http://flowingdata.com/2015/12/22/10-best-data-visualization-projects-of-2015/
- http://flowingdata.com/2016/12/29/best-data-visualization-projects-of-2016/
- http://flowingdata.com/2017/12/28/10-best-data-visualization-projects-of-2017/
- https://datamovesme.com/ - Read about topics in Data Science or prepare for your upcoming interview.
- https://www.datasciencelive.com/ - ongoing Series of Data Science Webinars
- Deep Learning for NLP Best Practices
- Google's best practices in machine learning
- Top 10 Machine Learning Algorithms for Beginners
- https://www.datacamp.com/community/blog/data-science-periodic-table - Everyting that you need to start to learn Data Science: courses, boot camps, conferences, data, projects, challenges, competitions, programming languages and distributions, data management, machine learning and stats, data visualization, collaboration, community and Q&A, news, newsletters, blogs, and podcasts.
- Data Scientist Interviews - Vol 1, April 2014
- Data Scientist Interviews - Vol 2, December 2014
- Top 10 Machine Learning Projects for Beginners
- 9 Must-have skills you need to become a Data Scientist
- https://ai.google/education/ - Learn from ML experts at Google
- 200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers - 2018
- https://mybinder.org/ - Turn a GitHub repo into a collection of interactive notebooks
- Top Data Science Online Courses in 2018
- https://stanford.edu/~shervine/teaching/cs-229.html - Supervised Learning, Unsupervised Learning, Deep Learning, Tips and Tricks, Matlab, Probabilities and Statistics, Linear Algebrat and calculus
- https://www.packtpub.com/packt/offers/free-learning - Free ebooks
- http://www.claoudml.co/ - Free resources collected by Randy Lao