No Starch Press
nostarch.com › art-machine-learning
The Art of Machine Learning | No Starch Press
April 13, 2026 - You’ll become skilled in a range of machine learning methods, starting with the simple k-Nearest Neighbors method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks. Final chapters introduce text and image ...
No Starch Press
nostarch.com › catalog › ai-machine-learning
AI & Machine Learning | No Starch Press
No PhD required. Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, and Carlo Manzo ... Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field
Machine Learning Bookshelf by No Starch Press (pay what you want and help charity)
Top tier is somewhat pricier than usual, but there are also 6 newly offered books in this bundle, which is pretty nice: Deep Learning: A Visual Approach (only top tier book and recently published, the rest are available in the somewhat cheaper next-level) Dive into Algorithms Practical Deep Learning Algorithmic Thinking How Computers Really Work Learn Python Visually This appeared in a previous No Starch bundle (ISTR maybe the most recent Python one?), but I'm mentioning the repeat since it was misfiled as an O'Reilly book during my HB library search: Natural Language Processing with Python and spaCy More on reddit.com
How to start learning ML
I would suggest two Andrew Ng courses at Coursera. I wrote reviews for both of them. First one is intro, the second is a bit more advanced with focus on deep learning: https://vkontech.com/course-review-machine-learning-by-andrew-ng-stanford-on-coursera/ https://vkontech.com/course-review-deep-learning-specialization-by-andrew-ng-deeplearning-ai-on-coursera/ More on reddit.com
Must read books for any cs student?
software/web developer In no real order: Computer Networking: A Top-Down Approach by James Kurose Eloquent JavaScript by Marijn Haverbeke Web Design with HTML, CSS, JavaScript, and JQuery by Jon Duckett (Set of two books) Addendum: You can mostly skip the JQuery stuff, it's mostly useful if you get stuck in an old JQuery project at some point. edit: Also, the books will be slightly out of date with regards to newer features. They're still good reads, but you should be familiar with MDN for referencing up-to-date documentation on HTML, CSS, and JS. Cryptography Engineering: Design Principles and Practical Applications by Ferguson, Schneier, & Kohno For backend, you'll just have to learn a given language and it's framework: C# and ASP.NET, Java and Spring, Go and Http or one of it's many framework libs (Chi, Echo, Gin), JavaScript and Node.js (also has frameworks like Express or Nest), etc. More generally: Structure and Interpretation of Computer Programs by Sussman & Ableson There's a JS version available too, but I'd recommend the original Scheme version. You can check out both versions and pick the one you prefer. This is a more long-term book for learning foundational principles. The Pragmatic Programmer by Thomas & Hunt Introduction to Algorithms aka CLRS Algorithms by Sedgewick & Wayne Introduction to the Theory of Computation by Sipser Bit of a warning, it's been awhile since I read this one but I think it introduces things like computational complexity and automata theory which can be extremely useful, but I may be misremembering. A book on hardware, iirc the one I originally read was The Principles of Computer Hardware by Alan Clements, but Code: The Hidden Language of Computer Hardware and Software by Charles Petzold is also highly regarded. Don't feel pressured to read all of these btw, ideally your university program will introduce you to some of them or suitable alternatives over time. This is just a good list of things to look at over time without dumping you directly into something like The Art of Computer Programming by Knuth. More on reddit.com
Humble Bundle: Hacking 101 books by No Starch Press
I love Humble Bumble. And apparently a lot of people do. I can't speak to them as a customer, but as an author, I'll share that Humble Bumble sales made up more than half my last royalty cheque. (My last royalties came last week, and the book was written in 2017.) More on reddit.com
No Starch Press
nostarch.com › machine-learning-q-and-ai
Machine Learning Q and AI | No Starch Press
April 13, 2026 - “Sebastian Raschka's new book, Machine Learning Q and AI, is a one-stop shop for overviews of crucial AI topics beyond the core covered in most introductory courses...If you have already stepped into the world of AI via deep neural networks, then this book will give you what you need to locate ...
Reddit
reddit.com › r/humblebundles › machine learning bookshelf by no starch press (pay what you want and help charity)
r/humblebundles on Reddit: Machine Learning Bookshelf by No Starch Press (pay what you want and help charity)
August 30, 2021 - Get code-smart with No Starch Press books like Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner & Algorithmic Thinking: A Problem-Based Introduction! ... Top tier is somewhat pricier than usual, but there are also 6 newly offered books in this bundle, which is pretty nice: Deep Learning: A Visual Approach (only top tier book and recently published, the rest are available in the somewhat cheaper next-level)
No Starch Press
nostarch.com › practical-deep-learning-python-2E
Practical Deep Learning, 2nd Edition | No Starch Press
April 13, 2026 - After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you’re a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you:
Nostarch
staging.nostarch.com › machine-learning-and-ai-beyond-basics
Machine Learning and AI Beyond the Basics | No Starch Press
January 8, 2024 - Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field
No Starch Press
nostarch.com › machine-learning-kids
Machine Learning for Kids | No Starch Press
April 13, 2026 - Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them. You’ll turn your models into 13 fun computer games and apps, including: A Rock, Paper, Scissors game that recognizes your hand shapes · A computer character that reacts to insults and compliments · An interactive virtual assistant (like Siri or Alexa) ... There’s no experience required and step-by-step instructions make sure that anyone can follow along!
Amazon
amazon.com › Art-Machine-Learning-Algorithms-Data › dp › 1718502109
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R: 9781718502109: Computer Science Books @ Amazon.com
His book, Statistical Regression ... to Machine Learning, was the recipient of the 2017 Ziegel Award, given by the prominent technical journal Technometrics. Matloff is frequently asked to give keynote addresses at data science conferences and he also writes about social issues. He was the recipient of the Distinguished Public Service Award from UC Davis and is also the author of The Art of Debugging with GDB, DDD, and Eclipse and The Art of R Programming (both No Starch Press)...
No Starch Press
nostarch.com › deep-learning-crash-course
Deep Learning Crash Course | No Starch Press
April 13, 2026 - There are no products in your shopping cart. ... by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, and Carlo Manzo · January 2026, 680 pp. ... Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today’s most powerful AI models from scratch.
No Starch Press
nostarch.com › math-deep-learning
Math for Deep Learning | No Starch Press
April 13, 2026 - "Ronald T. Kneusel has written a handy and compact guide to the mathematics of deep learning. It will be a well-worn reference for equations and algorithms for the student, scientist, and practitioner of neural networks and machine learning. Complete with equations, figures and even sample ...
i-Programmer
i-programmer.info › book-watch-archive › 17578-machine-learning-q-and-ai-no-starch-press.html
Machine Learning Q and AI (No Starch Press)
Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.
No Starch Press
nostarch.com › how-ai-works
How AI Works | No Starch Press
April 21, 2026 - A History of AI Chapter 3: Classical Models: Old-School Machine Learning Chapter 4: Neural Networks: Brain-Like AI Chapter 5: Convolutional Neural Networks: AI Learns to See Chapter 6: Generative AI: AI Gets Creative Chapter 7: Large Language Models: True AI at Last? Chapter 8: Musings: The Implications of AI Appendix A: Resources Appendix B: Glossary ... "Succinct and clear-cut . . . a beacon for those wanting to delve into the mesmerizing world of AI, offering a detailed yet comprehensible overview of the evolutionary trajectory of machine learning technologies, from their rudimentary forms to the pioneering entities of today."
No Starch Press
nostarch.com › deep-learning-visual-approach
Deep Learning: A Visual Approach | No Starch Press
April 13, 2026 - Essential Statistical Ideas 3. Probability 4. Bayes’ Rule 5. Curves and Surfaces 6. Information Theory Part II: Basic Machine Learning 7. Classification 8. Training and Testing 9. Overfitting and Underfitting 10. Data Preparation 11. Classifiers 12. Ensembles Part III: Deep Learning Basics 13. Neural Networks 14. Backpropagation 15. Optimizers Part IV: Beyond the Basics 16. Convolutional Neural Networks 17. Convnets in Practice 18. Autoencoders 19. Recurrent Neural Networks 20. Attention and Transformers 21. Reinforcement Learning 22.
No Starch Press
nostarch.com › shapeofdata
The Shape of Data | No Starch Press
April 13, 2026 - This advanced machine learning book teaches algorithms through geometry, and data analysis through practical scientific applications.
Amazon
amazon.com › Machine-Learning-AI-Essential-Questions › dp › 1718503768
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI: Raschka, Sebastian: 9781718503762: Amazon.com: Books
Raschka previously was Assistant ... learning, and is the author of the bestselling books Python Machine Learning and Machine Learning with PyTorch and Scikit-Learn. No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless ...
LinkedIn
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6 Best Machine Learning & AI Books of All Time (March ...
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LinkedIn
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Machine Learning and AI by No Starch - Humble Bundle
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