October 2018
Intermediate to advanced
134 pages
2h 39m
English
Content preview from Machine Learning for Healthcare Analytics Projects
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
To get the most out of this book
This book will help you to build real-world machine learning solutions across the healthcare vertical using NumPy, pandas, matplotlib, scikit-learn, and so on. You need not have any prior knowledge before exploring this book. You will get well versed on how exactly machine learning is implemented to evaluate the efficiency of AI apps, and how to carry out simple-to-complex healthcare analytics tasks. This is a perfect entry point packed with practical examples to carry out a range of cognitive tasks. By the end of this book, you will have learned how to address long-standing challenges in the healthcare domain, and produce solutions for dealing with them.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.