Solve challenging and real-world Healthcare and Life Sciences problems using Machine Learning on AWS Key Features * Understand a wide range of challenges faced by healthcare and life sciences organizations * How machine learning can address those challenges in a practical manner that's easy to understand * Tools and services from AWS to help builders with basic machine learning Book Description The readers will need to understand basic machine learning concepts and techniques. They will also need to be familiar with some of the challenges faced by the healthcare and life sciences industry but that is not mandatory. The book focuses on key parts of machine learning and AWS. We will later move to various applications of machine learning in Healthcare. Here we will cover critical applications like Patient Risk Stratification, healthcare provider operational efficiency, Medical Imaging, medical devices, and so on. Then we will move to top applications of Machine learning in Life Sciences. We will deep dive into genomics, drug discovery and chemical informatics, pharma sales, and forecasting. By the end of the book, we will learn common challenges that you will face and their solutions. Followed by current Industry Trends and future applications. What you will learn * Learn the common challenges faced by the healthcare and life sciences * Apply machine learning algorithms to specific problems to solve them * Best practices around scalability, security, and explainability * Regulatory and privacy requirements of the healthcare and life sciences * Top real-world applications to ease your day-to-day tasks Who This Book Is For This book is for someone who works for or has an interest in the healthcare and Life Sciences industry and has some experience in machine learning. It's tailored towards technology decision-makers and builders who would like to apply machine learning to solve common challenges in the healthcare and life science industry.

Book Information
ISBN 9781804610213
Author Ujjwal Ratan
Format Paperback
Page Count 178
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 75g