✨ Comprehensive Study Resources ✨

A curated collection of books and references for Computer Vision, Machine Learning, Deep Learning, NLP, Python, and more. <br /> A collection of more than 200+ programming ebooks at one place at no cost

Before We Dive In, Here Are Some Cool Sites You Should Visit at Least Once

1. Goal Kicker
2. RoadMap.sh
3. MlCourse.ai - classic ml
4. dl2.ai - Main DL concepts with clear explanation and practical implementation
5. Devops for DataScience
6. for LLMS Enthusiasts

(*a small collection of links shared by Marian covering ML, DL, DevOps, and LLM tools.)

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Roadmap for AIML (Beginners)

If you prefer everything in a proper blog format, I’ve written detailed guides that cover:

• where to start ?
• what exact topics to focus on ?
• and how to progress in the right order

Roadmap guide (Part 1): Roadmap : AIML | Medium <br /> Detailed topics breakdown (Part 2): Roadmap 2 : AIML | medium

Symbol Table

| Symbol | Meaning | | :----: | :---------------------------------------------- | | 🌟 | Highly recommended / Must-read |

<ins> Cheatsheets </ins>

1. Machine Learning Cheatsheet

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<ins> Computer Vision (CV)</ins>

1. Autoencoders and GANS
2. Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python* by Jason Brownlee
3. deep learning for vision systems
4. Deep Learning For Computer Vision python
5. Generative Deep Learning - Teaching Machines to Paint, David Foster, Applied Data Science
6. mastering matploitlib
7. Michael Avendi - PyTorch Computer Vision Cookbook Over 70 recipes to solve computer vision and image processing problems using PyTorch
8. OpenCV Computer Vision Projects with Python
9. Opencv Ref
10. OpenCV with Python Blueprints
11. Using Stable Diffusion with Python

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<ins> Ethical_Hacking_ </ins>

1. Gray hat Python Python programming for hackers and reverse
2. Hacking APIs Breaking Web Application Programming Interfaces Corey
3. Justin Seitz Black Hat Python Python Programming for Hackers and
4. Network Programming in Python The Basic A Detailed Guide to Python
5. python cybersecurity for offence and defense
6. Python Ethical Hacking from scratch
7. Python for OSINT
8. The Hardware Hacking Handbook
9. The Art of Network Penetration Testing How to Take Over Any Company

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<ins> Extra_Special </ins>

1. Fluent Python 🌟

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<ins> Js_Books </ins>

1. Beginning Nodejs
2. Practical Node Js

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<ins> Lang-Other </ins>

C / C++ Books

1. Intermediate C Programming
2. C++ Primer (5th Edition, 2013)
3. Professional C++
4. Expert C++

JavaScript / TypeScript / Web / ML Books

1. Learning PHP, MySQL & JavaScript (Nixon, 6th Edition, 2021)
2. React Brochure
3. Unpacking Intermediate JavaScript
4. Text Processing with JavaScript
5. You Don’t Know JS: Async & Performance
6. You Don’t Know JS: ES6 & Beyond (Kyle Simpson)
7. Effective TypeScript
8. Learning TensorFlow.js (Gant Laborde)

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<ins> Mix-Uncategorized </ins>

11. 2015 Book DataMining
12. 25 most popular Python scripts for network security
13. Attacks, Defenses and Testing for Deep Learning
14. Automate The Boring Stuff With Python
15. Build a Backend REST API with Python Django - Beginner
16. Building Python Web APIs with FastAPI
17. Building Modern GUIs with Tkinter and Python Building user friendly
18. ChatGPT Prompts Book (2024)
19. Cybersecurity Architect s Handbook
20. fastApi modern web dev
21. Hands on python web scraping
22. [Hypermodern Python Tooling](https://github.com/Rishabh-creator601/Books/blob/master/python_boo