40+ Modern Tutorials Covering All Aspects of Machine Learning

This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with most documents featuring Python or R code and numerous illustrations or case studies. All this material is available for free, and consists of content mostly created in 2019 and 2018, by various top experts in their respective fields. A few of these documents are available on LinkedIn: see last section on how to download them. 

Source for picture: see starred document at the bottom of this repository

General References

Data Science Central Books, Booklets and References

Cheatsheets

Vipul Patel's List (Chiel Data Scientist at SAP)

This list features 100 Days of Machine Learning as well as (accessible from the same link) the following topics:

  • Data Science Tutorial Library (Python & R)
  • Machine Translation from Cold War to Deep Learning
  • Algorithms - Notes for Professionals
  • Hands-On Guide to Automated Feature Engineering using Featuretools in Python
  • Git Cheatsheet
  • NLP/NLU/NLG Technology Stack
  • Practical Guide to SQL basics
  • Comparison of Deep Learning Frameworks
  • An Introductory Example of Bayesian Optimization in Python with Hyperopt
  • 5 NLP Libraries for Data Scientists
  • Grid Searching in ML: Quick Explanation and Python Implementation
  • Anatomy of a Chatbot

More from Vipul Patel

Including Difference Between Business Intelligence & Data Science and  (accessible from the same link) the following topics:

  • Advantages Drawbacks Applications of top 10 algorithms
  • Feature Engineering - Getting most out of data for predictive models
  • Extracting Features from Text - A Step-by-Step NLP Guide
  • Which machine learning algorithm to use?
  • Visual Explanation of Deep Learning
  • Top 40 Python Interview Questions & Answers
  • Step by Step Guide to Data Cleaning with Python (NumPy and Pandas)
  • Machine Learning Use Cases by Industry
  • Practical Introduction to Web Scraping in Python
  • The Ultimate Guide To Speech Recognition With Python
  • Guided model building mindmap (*)
  • Essential Notes: Coursera Deep Learning Course by Andrew Ng

Downloading documents posted on LinkedIn

Move your mouse on the LinkedIn post in question. A black box at the bottom should appear as in the picture below:

Click on the little square at the bottom right corner. Now the document will open in full screen mode. On my browser (Chrome) a download icon will appear at the top right corner. Click on it to download the document.

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Comment by Domingo Cordero on October 17, 2019 at 5:11am

Outstanding  Capri !

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