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Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

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README.md

Original

✨ 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

alt text

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.)

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
Detailed topics breakdown (Part 2): Roadmap 2 : AIML | medium

Symbol Table

Symbol Meaning
🌟 Highly recommended / Must-read

Cheatsheets

  1. Machine Learning Cheatsheet

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

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

Extra_Special

  1. Fluent Python 🌟

Js_Books

  1. Beginning Nodejs
  2. Practical Node Js

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

Mix-Uncategorized

  1. 2015 Book DataMining
  2. 25 most popular Python scripts for network security
  3. Attacks, Defenses and Testing for Deep Learning
  4. Automate The Boring Stuff With Python
  5. Build a Backend REST API with Python Django - Beginner
  6. Building Python Web APIs with FastAPI
  7. Building Modern GUIs with Tkinter and Python Building user friendly
  8. ChatGPT Prompts Book (2024)
  9. Cybersecurity Architect s Handbook
  10. fastApi modern web dev
  11. Hands on python web scraping
  12. Hypermodern Python Tooling
  13. Justin Seitz Black Hat Python Python Programming for Hackers and
  14. Learning GraphQL by Eve Porcello, Alex Banks (2018)
  15. Learning TypeScript Enhance Your Web Development Skills Using Type
  16. make python talk speech recognition
  17. Mark Liu Make Python Talk Build Apps with Voice Control and Speech
  18. PYQT5
  19. Python GUI Automation for Beginners
  20. Python Testing with pytest by Brian Okken
  21. Python Concurrency with asyncio Matthew Fowler
  22. tkinter-gui-programming-example
  23. TkinterWidgets
  24. Visual Analytics with Tableau®
  25. Visualising Quantum Mechanics with Python
  26. [O`Reilly] - Programming Python, 4th ed - [Lutz]

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 🌟

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

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

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

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

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

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

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 🌟

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

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