This MATLAB® Notes for Professionals book is compiled from Stack Overflow Documentation. (182 pages, published on May 2018)
A Whirlwind Tour of Python is a fast-paced introduction to essential features of the Python language, aimed at researchers and developers who are already familiar with programming in another language. The material is particularly designed for those who wish to use Python for data science and/or scientific programming, and in this capacity serves as an introduction to my longer book, The Python Data Science Handbook.
This is an interactive book which aims to be the best place on the internet for learning SQL. It is free of charge, free of ads and doesn’t require registration or downloads. It helps you learn by running queries against a real-world dataset to complete projects of consequence. It is not a mere reference page — it conveys a mental model for writing SQL.
A comprehensive introduction to the latest forecasting methods. Examples use R with many data sets taken from the authors’ own consulting experience. In this second edition, all chapters have been updated to cover the latest research, and three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues.
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. (“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” ―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX).