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: 2 months ago
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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 (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-20T16:45:30.000Z (5 months ago)
- Last Synced: 2025-02-16T05:41:46.815Z (4 months ago)
- Topics: algorithm, books, datastructures, deep-learning, machine-learning, statistics
- Homepage:
- Size: 19.5 KB
- Stars: 10
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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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)
* [x] Machine Learning Design Interview: Machine Learning System Design Interview 2022 (Khang Pham)
## 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)