Here's a curated library of books I've recently assembled, which includes updated editions, repurchased classics, and additional titles to complete the collection. Complemented by Datacamp resources(https://www.datacamp.com/) and guidance from Pippa, the Python goddess, this ever-expanding library serves as an invaluable companion for our journey into the brave new world of AI.
Please note that most of these books are designed for reference rather than for a quick read in a couple of sittings. Additionally, some of them are not for the faint-hearted.
You can buy all of them as Kindle e-books. However, some of them may not be available in print. All the links provided are directed to Amazon.
Personally, I prefer to buy all books in both print and e-book formats for easy reference.
If you find yourself purchasing numerous reference e-books, consider Oreilly.com over Kindle e-books. They offer a plethora of reference books from various publishers and imprints, including O'Reilly, No Starch, the "For Dummies" series, Manning, Packt, and more.
Their early access feature allows you to read pre-release books, and they also offer online courses. It's much more economical if you regularly buy many e-books. During your 7-day free trial, they provide a 50% off coupon for the first year. Wait for the coupon, and don't pay the full price.
For example, on this platform, you can find e-book versions of many books from my list of recommended AI and Math readings.
The e-books you read sync across all the devices you use.
- Python in a Nutshell: A Desktop Quick Reference
- Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development Series)
- Fluent Python: Clear, Concise, and Effective Programming
- Deep Learning (Adaptive Computation and Machine Learning series)
- Data Science from Scratch: First Principles with Python
- Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
- Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
- Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
- ChatGPT API Bible: Mastering Python Programming for Conversational AI: Build Intelligent Chatbots and AI Applications with ChatGPT API and Python (Masteting AI and Python)
- Generative Deep Learning with Python: Unleashing the Creative Power of AI (Masteting AI and Python)
- Introduction to Natural Language Processing with Transformers: Decoding Language with AI: A Comprehensive Guide to Build Language Applications with Hugging Face, GPT, Python, and more
- Machine Learning with Python: Keras, PyTorch, and TensorFlow: Unlocking the Power of AI and Deep Learning (Masteting AI and Python)
- Natural Language Processing with Python: Building your Own Customer Service ChatBot: Unleash the Power of AI (Masteting AI and Python)
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Natural Language Processing with Transformers, Revised Edition
- Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
- Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications
- Flask Web Development: Developing Web Applications with Python
- Web Application Development with Streamlit: Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework
- Build and Learn: AI App Development for Beginners: Unleashing ChatGPT API with LangChain & Streamlit