Machine Learning for Health Informatics A Holzinger Springer Paperback Book 2016

Machine Learning for Health Informatics A Holzinger Springer Paperback Book 2016

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Machine Learning for Health Informatics: A Holzinger Springer Paperback Book 2016

If you are interested in the intersection of machine learning and health informatics, then this book is a must-read for you. Authored by Andreas Holzinger, a renowned expert in the field, this Springer paperback provides a comprehensive overview of how machine learning techniques can be applied to healthcare data.

In this book, Holzinger covers various topics such as data preprocessing, feature selection, classification, clustering, and evaluation, all within the context of health informatics. The author also discusses the challenges and opportunities that come with using machine learning in the healthcare industry, as well as ethical considerations that need to be taken into account.

Whether you are a healthcare professional looking to enhance your knowledge of machine learning or a data scientist interested in applying your skills to healthcare data, this book provides valuable insights and practical guidance. With a focus on real-world applications and case studies, Machine Learning for Health Informatics is a valuable resource for anyone looking to explore the potential of machine learning in the healthcare sector.
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