SKU: 37701925968

Machine Learning for Healthcare Analytics Projects

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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 Features
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    SKU: 37701925968

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    Tara
    Los Angeles, US
    ★★★★★ 3
    3 Star Read,
    Format: Kindle
    This book wasn't bad, but wasn't my cup of tea. It's highly disappointing because the storyline is so original. There is no real conflict or resolution, so the entire thing feels flat. As a lover of omegaverse books, I know there is a ton of variety out there, and ov is really up to the author. But this one is weird. Omegas have multiple scent glands all over their bodies and go into week long heats every month. Alphas have knots in the middle of their shaft instead of the base, and the knot doesn't always swell, no explanation of when or why. It doesn't engage at all when the mouth is in play. I also didn't enjoy the author's writing style. Each paragraph is only 1 or 2 sentences long, and the entire book reads very stacato. The conversations are stiff and unnatural feeling. Everything is very repetitive, both in word choice and in thought. The same thing is repeated 3 or 4 times over a single page, multiple times over. I ended up doing so much skimming. The first 50% of the book is all slow burn, and the last 50% is almost straight mediocre spice. This wouldn't have been all bad if the grammar and spelling errors didn't start at the exact same time. Tongue is repeatedly misspelled in the middle of the spice.
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    Reviewed in the United States on September 14, 2024
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    Debby & Brian
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    This is the true definition of Cozy Omegaverse. LA wedding coordinator meets her pack at the location for a couple’s destination wedding. Low angst because they are scent matched high heat with heats and knots. Everything you love about this genre with very little anxiety. Simply a fun experience to read and a book I will comeback to when I’m in a slump. I simply love reading this book
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    Reviewed in the United States on March 19, 2026
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    Iputmybookdownforthis
    New York, US
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    Reviewed in the United States on May 31, 2025
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    Dani
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    Reviewed in the United States on March 21, 2026

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