A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists to succeed in understanding the concepts of Artificial Intelligence and machine learning. Equips with new data mining strategies an easy interface into the world of Artificial Intelligence. Enable the researchers to enhance their own sphere of researching Artificial Intelligence. Provides an overview of the basics of AI for life science biologists A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Dr Ambreen Hamdani (BVSc & AH, MVSc, PhD) is currently a Post Doctoral Fellow at the National Institute of Technology, Srinagar. Her PhD work was centred around the use of Artificial Intelligence for the prediction of genetic merit in Animals. She has published more than a hundred papers and a book. She has also won more than 30 international and national awards including (DST, Lockheed Martin, Tata Trust) India Innovation Growth Program 2019, National level elocution and writing contests, debating contests, the young scientists award for best scientific presentation etc. She has been granted a copyright and has published a patent as well. She has also been selected for a post-doctoral fellowship at the University of Wisconsin-Madison, USA. Prof. Nazir Ahmad Ganai (BVSc, MVSc, PhD, PDF) is currently serving as the vice chancellor of Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India. He acquired his PhD from the National Dairy Research Institute, India in animal genetics and breeding. He has also completed multiple postdoctoral fellowships at Wageningen University, The Netherlands, University of Wisconsin, Madison, USA, and the Durham University, UK. He has authored more than a hundred publications and a book. He has been awarded extramural grants worth millions of dollars for the Institutes he served including the 30 crore World Bank Funded National Agricultural Higher Education Project. He is also the recipient of the Indian National Science Academies’ Best Teacher Award, 2019. Dr Ganai has a teaching and research experience of more than 28 years. He was a part of the research team that developed Noorie, the world’s first pashmina Goat clone. Dr Henna Hamadani (B.V.Sc. & A.H., M.V.Sc., PhD) is currently working as Assistant Professor cum Junior Scientist in the Faculty of Veterinary Sciences and Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. She graduated in Veterinary Sciences and Animal Husbandry from SKUAST-K and completed her master’s and PhD degrees in Livestock Production and Management. She is the recipient of the Department of Science and Technology, INSPIRE fellowship of Govt. of India. She has worked in the area of Artificial Intelligence during her Summer Research Fellowship granted by Indian National Scie