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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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4.5 ★★★★★
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Product Reviews
★★★★★ 4
Don’t buy for restaurant industry
Size: 10.5, Color: Black, Size: 10.5, Color: Black
Good looking shoes, fairly comfortable and good value based on the description shared, so I don’t feel it’s fair to rate them lower than 4 stars. I had high hopes for them based on previous reviews from others saying they wore them in the food and beverage industry that mentioned their quality and durability, however I strongly recommend looking elsewhere if you do. I purchased these to wear working in a full service upscale restaurant and in less than two months have managed to have torn the material on the middle exterior section and the bottoms of the shoes are already completely worn down. Good design, but the durability needs to be improved if they’re to hold up for that industry.
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Reviewed in the United States on July 18, 2025
★★★★★ 1
DO NOT BUY (lasted less than 7 months)
Size: 11, Color: Black, Size: 11, Color: Black
I bought these for work as a bartender in August of 2025. By December, the tops were scuffed, frayed, and peeling beyond repair, and by February, the soles were coming off. I’ve never had a pair of shoes with such low quality.
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Reviewed in the United States on April 11, 2026
★★★★★ 5
Most comfortable shoes, right out of the box!
Size: 8.5, Color: Cognac Napa Leather
Oh my! So, my ordering of shoes online has been hit or miss - 1/2 size too big or too small; too wide or not wide enough. Enter these Marc Joseph shoes… such a game changer. They fit like a glove, exceptionally comfortable, and easy to slip in and out of. I like them so much that I am shopping for another pair. So far, the size, quality, fit, feel, look, and comfort make this pair my dedicated first pick. Btw, I have been wearing them for six hours and they are still very comfortable! I highly recommend these shoes.
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Reviewed in the United States on September 28, 2025
★★★★★ 5
Me gustaron
Size: 9.5 Wide, Color: Black
Llego exactamente la talla que pedí, son como se ven en la foto!
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Reviewed in the United States on June 3, 2026
★★★★★ 5
Comfortable dress shoe.
Size: 7, Color: Brown Napa Leather
Finally a comfortable dress shoe. It's both comfortable to walk in and looks and wears like a more traditional dress shoes for the office.
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Reviewed in the United States on May 6, 2026
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