✨ Comprehensive Study Resources ✨

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

Before moving ahead with my sources Here is the list of Cool sites that i found worth mentioning and you must visit it just once ... just once... ☝️☝️

1. Goal Kicker
2. RoadMap.sh

Symbol Table

Symbol	Meaning
🌟	Highly recommended / Must-read

Cheatsheets

1. Machine Learning Cheatsheet

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Computer Vision (CV)

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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Ethical_Hacking_

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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Extra_Special

1. Fluent Python 🌟

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Js_Books

1. Beginning Nodejs
2. Practical Node Js

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Lang-Other

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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Mix-Uncategorized

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
23. Justin Seitz Black Hat Python Python Programming for Hackers and
24. Learning GraphQL by Eve Porcello, Alex Banks (2018)
25. Learning TypeScript Enhance Your Web Development Skills Using Type
26. make python talk speech recognition
27. Mark Liu Make Python Talk Build Apps with Voice Control and Speech
28. PYQT5
29. Python GUI Automation for Beginners
30. Python Testing with pytest by Brian Okken
31. Python Concurrency with asyncio Matthew Fowler
32. tkinter-gui-programming-example
33. TkinterWidgets
34. Visual Analytics with Tableau®
35. Visualising Quantum Mechanics with Python
36. [O`Reilly] - Programming Python, 4th ed - [Lutz]

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ML-DL-Broad

1. 2019 Generative Deep Learning Teaching Machines to Paint, Write, Compose, and Play by David Foster

2. 6185 Machine Learning in Action

3. AI and ML for Coders B1 🌟

4. Advanced Deep Learning with TensorFlow 2 and Keras

5. Ankur A Patel Hands On Unsupervised Learning Using Python 🌟

6. Applied DL PyTorch

7. Auto ML

8. Building Machine Learning Systems with Python - Richert, Coelho

9. Building Machine Learning Systems with Python - Second Edition

10. Building Recommendation Systems in Python and JAX

11. Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python by Jason Brownlee

12. Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python by Jason Brownlee

13. Deep Learning with Applications Using Python: Chatbots, Face, Object, and Speech Recognition with TensorFlow and Keras

14. Deep Learning with Python part 2 🌟

15. Deep Learning with Python 🌟

16. Deep Learning with PyTorch

17. Deep Learning for Coders with fastai and PyTorch

18. Elements of Statistical Learning

19. Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

20. Fundamentals of Deep Learning

21. Generative Adversarial Networks with Python by Jason Brownlee

22. Generative Deep Learning Teaching Machines to Paint, Write, Compose, and Play by David Foster

23. Graph Neural Network Guide

24. Hands-On Machine Learning with Scikit Learn and TensorFlow

25. Imbalanced Classification with Python by Jason Brownlee

26. Inside Deep Learning: Math, Algorithms, Models by Edward Raff Manning

27. Introduction to Machine Learning with Python - min

28. Introduction to Time Series Forecasting with Python by Jason Brownlee

29. Learning TensorFlow - A Guide to Building Deep Learning

30. Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

31. Machine Learning for the Web

32. Machine Learning for the Web: Explore the Web and Make Smarter Predictions Using Python

33. Machine Learning Some Projects

34. Machine Learning with TensorFlow

35. Neural Network from Scratch 🌟 [Sentdex Book]

36. Practical Recommender Systems - Kim Falk (Manning, 2019)

37. Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python

38. Pro Machine Learning Algorithms

39. Programming PyTorch for Deep Learning (2020)

40. Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

41. Recommendation System Guide 🌟

42. Rowel Atienza - Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

43. TensorFlow Developer Certificate Guide (2023)

44. TensorFlow in Action

45. The GAN Book

46. The Hundred Page Machine Learning Book 🌟

47. AI-Machine-Learning-Coders-Programmers 🌟

48. Building Machine Learning Projects with TensorFlow

49. Debugging NNs

50. GANs in Action

51. Machine Learning and Torch

52. Torch-Mech-Algorthsm 🌟

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Natural Language Processing (NLP)

1. 1 starter 🌟
2. 2 The Handbook of NLP with Gensim 🌟
3. 3 only half book [spacy]
4. 4 NlP Bert and transformers 🌟
5. 5 Python Transformers By Huggingface Hands On- 101 practical Joshua K Cage 🌟
6. 6 Natural Language Processing in Action Understanding, analyzing, and generating text with Python
7. 7 [NLP] Natural Language Processing with PyTorch (2019)
8. chatbot project [extra]
9. Intermediate Nlp
10. Just read [NO Code ]
11. Nlp easy math Book

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Non_Foundation-Theorybooks

1. Nine Algorithms that Changed the Future The Ingenious Ideas that
2. Programming Languages
3. Quantum Computing
4. Quantum Machine Learning
5. Statistical Prediction and Machine Learning
6. The Internet Book Everything You

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Old_Gold

1. 30 books
2. How to Talk to Anyone 92 Little Tricks for Big Success in Relationships by Leil Lowndes
3. Influence The Psychology of Persuasion

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Python_Books

1. Hypermodern Python Tooling
2. Learning Python
3. Python Essential Reference, Fourth Edition
4. Python Concurrency with asyncio Matthew Fowler
5. The Python Standard Library by Example
6. [O`Reilly] - Programming Python, 4th ed - Lutz
7. Core Application Programming
8. Effective Python
9. Fluent Python 🌟
10. Python Cookbook

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Ref

1. 50-useful-python-scripts-free-pdf (3)
2. Machine learning ref
3. Numpy Reference
4. Opencv Ref 🌟
5. Regression only
6. Tutorials on Machine learning & Deep-Learning
7. Very very good python ref for all fields 🌟

Reinforcement_Learning

1. Book Reinforcement Learning - With Open AI, TensorFlow and Keras Using Python 174 Pages 2018
2. Deep Reinforcement Learning Hands-On
3. Deep Reinforcement Learning with Python (2024)
4. Reinforcement Learning An introduction (Second Edition) by Richard S Sutton and Andrew G Barto

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Roadmaps 🌟

1. 2024 Backend Roadmap - Light
2. 2024 Frontend Roadmap - Light
3. CampusX DLCV Course Syllabus
4. CampusX DSMP 2 0 Syllabus
5. dsmp notes 1
6. dsmp notes 2
7. full stack edureka
8. GenAI Pinnacle Program project
9. Learning-Path
10. Statistics For Data Science Resources

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Maths

1. Calculus
2. Precalculus
3. precalculus-mathematics-for-calculus-6th-edition-pdf

Stats

1. Best Book of Stats Menium 🌟
2. Hypothesis Testing - ANOVA
3. Hypothesis Testing - Chi Square Distribution
4. Practical Statistics for Data Scientists 🌟

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Theory_Books

1. Deep learning book
2. Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville
3. dive into DL 🌟
4. ESLR
5. Foundations of Statistical Natural Language Processing - Christopher D Manning
6. ISLP
7. ISLR