Giveaway: https://www.tradepub.com/free/w_pacc86/
Download: w_pacc86.pdf – mirror
It begins with the foundational principles of AI, offering a deep dive into its history, building blocks, and the stages of development. Readers will explore key AI concepts and gradually transition to practical applications, starting with machine learning algorithms such as linear regression and k-nearest neighbors. Through step-by-step Python tutorials, the book helps readers build and implement models with hands-on experience. As the book progresses, readers will dive into advanced AI topics like deep learning, natural language processing (NLP), and generative AI. Topics such as recommender systems and computer vision demonstrate the real-world applications of AI technologies. Ethical considerations and privacy concerns are also addressed, providing insight into the societal impact of these technologies. By the end of the book, readers will have a solid understanding of both the theory and practice of AI and Machine Learning. The final chapters provide resources for continued learning, ensuring that readers can continue to grow their AI expertise beyond the book.
Expires 2/4/2026
Offered Free by: Packt
I keep coming back to Machine Learning and AI for Absolute Beginners: The Ultimate Guide to AI and Machine Learn; that framing is useful. Unrelated but handy: beadpattern.app (Perler bead pattern maker).
The detail about Machine Learning and AI for Absolute Beginners: The Ultimate Guide to AI and Machine Learn is the part that stuck with me — it is concrete enough to argue with. As a light side note, everygenai.live is a AI video/image effects tool I have been using between reading sessions.