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

You've been scammed, this is a terrible booklist if you're aiming for strong ML foundations. This stinks of bootcamper/DS hype train rubbish. The best way is to just follow a syllabus of a respected university and learn by looking up the course contents in a respected reference ML text book like Murphy. More on reddit.com

Not going to even look at it if it's from Packt More on reddit.com

Some my opinions and notes based on available amazon DE reviews. Bundle contains book about ML, Deep Learning, LLM, AI in general and applications of these Bundle contain 4 books released this year. One of them have moderate ratings, oither books have no ratings yet, so it is hard to judge. All books seems to be latest editions. Some books are cheap even in print. Following three books cost sub 25 EUR on amazon DE: "Artificial Intelligence for Business, 2nd Edition", "Responsible AI", "The AI Revolution in Medicine". If you are interested just one book it make sense consider buying it directly (in print or ebook) instead of buying whole bundle. "Artificial Intelligence for Business" is hard to find at Amazon. Even google has hard time to find it unless I explicitly specified that it is book and second edition. Then I found it on amazon by ISBN and for some reason on Amazon it is shown with different cover. Books with positive ratings are "Learning Deep Learning", "Deep Learning Illustrated", and "The AI Revolution in Project Management" Many people give books low-ratings for some reason, but there are no much written negative reviews. The only book with reasonable negative ratings is the "Pragmatic AI". Reviews says that it asummes previous knowledge on tooling like Makefile which it significantly overuse and do not describe much. Some people like it, many do not. Books are quite new. Oldest is from 2018, newest from 2024. Histogram from now to history: 2024: 4 books, 2023: 2 books, 2022: 1 book, 2021: 3 books, 2020: 1 book, 2019: 4 books, 2018: 2 books. Most books (7 of 17) are between 200 to 300 pages long. Additional 5 of 17 book books are between 300 to 400 pages long. Shortest book ("The AI Revolution in Networking, Security, and Emerging Technologies") is 198 pages long. Longest book ("Learning Deep Learning") is 752 pages long. List of books and ISBNs (ISBNs of print book, but print and ebook are usually the same): 978-0138293697 Learning Deep Learning 978-0986435614 The AI Revolution in Medicine 978-0136624356 Quick Start Guide to Large Language Models 978-0134116549 The AI Revolution in Project Management 978-0137383658 Responsible AI 978-0134863863 The AI Revolution in Networking, Security, and Emerging Technologies 978-0138199197 Beyond the Algorithm: AI, Security, Privacy, and Ethics 978-0138073923 Pragmatic AI 978-0138200138 Machine Learning with Python for Everyone 978-0138268459 Introducing Machine Learning 978-0136738510 Programming ML.NET 978-0138297336 Deep Learning Illustrated 978-0135172384 Foundations of Deep Reinforcement Learning 978-0135565667 Artificial Intelligence for Business, 2/e 978-0135116692 Foundational Python for Data Science 978-0134845623 Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2/e 978-0137470358 Machine Learning in Production Amazon DE ratings histogram, page count histogram, publication year histogram, and amazon print book price histogram is here: https://misaz.cz/Public/files/xxx-humble-bundle-2024-ai-pearson-hists.png More on reddit.com