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Machine Learning for Healthcare Analytics Projectsaria expanded"true" class"a expander content a expander partial collapse content a expander content expanded" style'box sizing: border box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font family: "Amazon Ember", Arial, sans serif; font size: 14px; padding bottom: 20px;' style"box sizing: border box; padding: 0px 0px 4px; margin: 0px; text rendering: optimizelegibility; font weight: 700; font size: 18px; line height: 24px;"Book
aria-expanded"true" class"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded" style'box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif; font-size: 14px; padding-bottom: 20px;' style"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px;"Book Description "box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;"Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;"This book will teach you how to implement key machine learning algorithms and walk you through their use cases employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;" the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain. style'box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif;'Key FeaturesShipping Notes
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4.6 ★★★★★
Based on 2462 reviews
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★★★★★ 5
Great Place to Start
Format: Paperback
Clear and entertaining
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Reviewed in the United States on February 17, 2026
★★★★★ 5
Engaging Read for Beginners and Techies Alike
Format: Paperback
An engaging and accessible exploration of how computers really work. The author breaks down complex concepts into simple, relatable explanations, making topics like binary, logic gates, and basic circuits far less intimidating. For newcomers, it’s a great way to build a foundational understanding of computer theory with just a touch of electrical engineering.
As someone with a technical background, I still found it entertaining; the examples and analogies added fresh ways to frame ideas I already knew. It’s the kind of book that can bridge the gap between “I use computers” and “I understand what’s happening under the hood.”
Highly recommended for anyone curious about what makes hardware and software tick, whether you’re starting from scratch or just want a new perspective.
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Reviewed in the United States on August 19, 2025
★★★★★ 5
CODE is the book you should get.
Format: Paperback
The best book to enter the field. Grateful that Charles Petzold decided to write it, even happier this was one of the first books I picked up.
Recommend to everyone wanting to become a programmer, or just interested in computers.
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Reviewed in the United States on January 12, 2026
★★★★★ 5
If you only buy one technical computer book, this is it
Format: Paperback
Disclaimer: I owned the first edition for years and read it a dozen times, mainly for pleasure since it’s not only informative but also just enjoyable to read. I’m a professional software architect and have dozens of textbooks on computer science and engineering so I’ve been around the block.
This is the kind of book I would buy all for all my friends (if I had more than a couple) and family members (if they were even slightly into computers, which they aren’t sadly). Petzold does an exceptional job at describing digital logic and guides you through building a conceptual CPU from very first principles.
I think his bottom up approach is the way to go and has helped me understand complex topics in an extremely simple way. When I’m not reading fiction, this is my go to bedtime reading.
The second edition has about 100 more pages than the first and some content has been completely reworked and it’s great.
If you ever had even a passing interest in knowing how computers work at a very fundamental level, get this book!
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Reviewed in the United States on January 31, 2023
★★★★★ 4
First programmer?
Format: Paperback
As an ardent reader of the past 1st edition, I was fairly excited to get the latest version. That is, until I encountered the history chapter of the new edition.
For one thing, what I do NOT understand in this second edition is the newly added description of August Ada Byron (countless of Lovelace). The author claims it was Babbage who was the first programmer to design the engines, not Ada. I am not trying to start a futile argument here about who has more or fewer contributions, etc.
What I am trying to assert here is that it is undisputed that Ada (unless the new evidence arises) left *the very first demonstration* of what this seemingly imaginary machine, which didn't even physically exist, was capable of through her program. Because Babbage designed the engine itself, that doesn't automatically put him in the position of a programmer (despite Babbage being a brilliant engineer/scientist and may have had a simple or detailed program in his mind). However, it was Ada who gave a definite touch to programming concepts that ultimately led to modern-day programming. Ada deserves more recognition than a mere "tutorial writer," and she is certainly entitled to the title she deserves.
Other than that, like the previous edition, this book is a must-read for people who are from related/unrelated fields. I always loved the 1st edition, and I would do too with the 2nd. Still, I think history should always be approached with more care, particularly if matters have potential controversies.
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Reviewed in the United States on January 6, 2023