Skip to content

Entry

The Math Behind Artificial Intelligence

Appears in 4 awesome lists

bt Tiago MOnteiro | A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view. It covers linear algebra, calculus, probability & statistics, and optimization theory with analogies, real-life applications, and Python code examples.

Open freecodecamp.org

Found in these lists

AWESOME DATA SCIENCE

Section: Books · A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view.

FreshScore 92

Awesome Math

Section: Reference Works · Tiago Capelo Monteiro (freeCodeCamp).

FreshScore 86

awesome-nlp

Section: Books · bt Tiago MOnteiro | A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view. It covers linear algebra, calculus, probability & statistics, and optimization theory with analogies, real-life applications, and Python code examples.

FreshScore 90

Awesome-Pytorch-list

Section: Tutorials, books, & examples · A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view. It covers linear algebra, calculus, probability & statistics, and optimization theory with analogies, real-life applications, and Python code examples.

FreshScore 88

Dive into Deep Learning

Interactive deep learning book with code implementations

In 4 listsDetails

Speech and Language Processing

Authored by leading experts in the field, this authoritative text provides an in-depth exploration of the algorithms and mathematical models for modern natural language processing and speech recognition, and is continually updated to reflect the rapid advancements in the NLP domain.

In 4 listsDetails

An Introduction to Statistical Learning

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.

In 3 lists

Deep Learning

Mathematical foundations by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

In 3 lists

R for Data Science

This book will teach you how to do data science with R. You will learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it. Exercise Solutions Authors: Garrett Grolemund and Hadley Wickham.

In 3 lists

Text Mining with R

This book serves as an introduction of text mining using the tidytext package and other tidy tools in R. Authors: Julia Silge and David Robinson.

In 3 lists

NLTK Book

An online and print book introducing NLP concepts using NLTK. The book's authors also wrote the NLTK library.

In 3 lists

Data Science Bookcamp

Early access

In 2 lists