Machine Learning for Healthcare Informatics  (English, Paperback, E.THANGADURAI)

Here are some reasons why you need to read the book Machine Learning for Healthcare Informatics: Extracting Valuable Insights from Big Data: To stay up-to-date on the latest trends and developments in machine learning for healthcare informatics. The book covers a wide range of topics, including supervised learning, unsupervised learning, reinforcement learning, and deep learning. It also discusses specific applications of machine learning in healthcare, such as disease diagnosis, drug discovery, and clinical decision support. To learn how to extract valuable insights from big data in healthcare. The book provides a comprehensive overview of the data science process, from data collection and preparation to model development and evaluation. It also includes case studies of real-world machine learning applications in healthcare. To gain a competitive advantage in the healthcare industry. Machine learning is rapidly transforming the healthcare industry, and professionals who have the skills and knowledge to use machine learning effectively will be in high demand. Reading this book will give you the skills and knowledge you need to succeed in the new era of healthcare.