|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Arjun PanesarPublisher: APress Imprint: APress Edition: 2nd ed. Weight: 0.832kg ISBN: 9781484265369ISBN 10: 148426536 Pages: 407 Publication Date: 16 December 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1: What Is Artificial Intelligence?.- Chapter 2: Data.- Chapter 3: What Is Machine Learning.- Chapter 4: Machine Learning Algorithms.- Chapter 5: How to Perform Machine Learning.- Chapter 6: Preparing Data.- Chapter 7: Evaluating Machine Learning Models.- Chapter 8: Machine Learning and AI Ethics.- Chapter 9: The Future of Healthcare.- Chapter 10: Case Studies.- Appendix A: References.- Appendix B: Glossary.ReviewsAuthor InformationArjun Panesar is the founder of Diabetes Digital Media (DDM), the world’s largest diabetes community and provider of evidence-based digital health interventions. He holds an honors degree (MEng) in computing and artificial intelligence from Imperial College, London. He has a decade of experience in big data and affecting user outcomes, and leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies, and governments worldwide. Arjun’s work has received international recognition and was featured by the BBC, Forbes, New Scientist, and The Times. He has received innovation, business, and technology awards, including being named the top app for prevention of type 2 diabetes. Arjun is an advisor to the Information School, at the University of Sheffield, Fellow to the NHS Innovation Accelerator, and was recognized by Imperial College as an Emerging Leader in 2020 for his contribution and impact to society. Tab Content 6Author Website:Countries AvailableAll regions |