https://github.com/akkefa/must-read-books-of-all-time

Must Read Books of All Time
https://github.com/akkefa/must-read-books-of-all-time

algorithm books datastructures deep-learning machine-learning statistics

Last synced: 20 days ago
JSON representation

Must Read Books of All Time

• Host: GitHub
• URL: https://github.com/akkefa/must-read-books-of-all-time
• Owner: akkefa
• License: apache-2.0
• Created: 2022-03-08T19:34:37.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-14T06:31:30.000Z (3 months ago)
• Last Synced: 2024-11-06T03:47:31.278Z (2 months ago)
• Topics: algorithm, books, datastructures, deep-learning, machine-learning, statistics
• Homepage:
• Size: 18.6 KB
• Stars: 9
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
#  📚 Must Read Books of All Time 📚

## ⚙️ Algorithms & Data Structures

* [x]  Grokking Algorithms (Aditya Bhargava)

* [x]  Introduction to Algorithms (3rd Edition) (Cormen, Leiserson, Rivest and Stein)

* [x]  [Algorithms](https://jeffe.cs.illinois.edu/teaching/algorithms/book/Algorithms-JeffE.pdf) (by Jeff Erickson)

## Programming

* [ ]  Code: The Hidden Language of Computer Hardware and Software Paperback (Charles Petzold)

## Machine Learning

* [ ]  An Introduction to Statistical Learning https://www.statlearning.com/ (Gareth James)

## Probability and Statistics

* [ ]  The Simple and Infinite Joy of Mathematical Statistics (J.N. Corcoran)

* [ ]  Probability and Statistics for Engineering and the Sciences 9th Edition (Jay L. Devore)

* [x]  [https://bookdown.org/probability/beta/](https://bookdown.org/probability/beta/) (thesis by Matt DosSantos DiSorbo)

## Deep Learning

* [x] [Deep Learning Book](https://www.deeplearningbook.org/) (Ian Goodfellow)

* [ ] [Dive into Deep Learning](https://d2l.ai/index.html) (Amazon Team) 

* [ ] [Alice’s Adventures in a differentiable wonderland](https://www.sscardapane.it/alice-book/) (Simone Scardapane)