This book covers all the fundamental, theoretical concepts and wide range ML algorithms applied to sciences. It is a collection of novel contributions detailing machine learning algorithms as applied to sciences like Chemistry and Material sciences, life sciences, Biological sciences, Nuclear Physics, Law, Environmental and earth aerospace science and Engineering etc.
Purpose: Machine learning algorithms have now extensively used in applied science. Machine learning (ML) is one of the most exciting fields and become part of everyday life and has been successfully applied in Engineering, Sciences business, industry, medicine, finance, and many domains. This book fills the gap in the existing literature of Machine Learning in applied sciences. With the high impact areas in applied sciences it is essential to dig the valuable information from the subject and explore the progress in the recent past. This book serves as a guide to the applications of machine learning in applied sciences. Features self-contained chapters with a thorough literature review. Includes applications and case studies across all areas of Artificial Intelligence(AI) in Science. It provides proficient guide on the relationship between AI and how AI is changing all aspects of Science. Assesses the development of AI techniques Science. Offers examples of how AI can be used in Applied Science. This book is written for a broad audience of those interested in adopting the applications of AI in Science.