demystifying big data and machine learning for healthcare

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)

Mastering the Data Paradox - by Nitin Seth

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

Pathophysiology, Pharmacology, and Physical Examination for Advanced Practice Nurses - by Kristi V Maynard & Andrea Adimando (Paperback)

Fundamentals of Deep Learning - 2nd Edition by Nithin Buduma & Nikhil Buduma & Joe Papa (Paperback)

Quantum Machine Learning - (Quantum Computing) by Pethuru Raj & Houbing Herbert Song & Dac-Nhuong Le & Narayan Vyas (Hardcover)

Causal AI - by Robert Osazuwa Ness (Paperback)

Diagnosing Musculoskeletal Conditions Using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging - (Paperback)

Privacy Preservation of Genomic and Medical Data - by Amit Kumar Tyagi (Hardcover)

Humanizing Healthcare - Human Factors for Medical Device Design - by Russell J Branaghan & Joseph S O'Brian & Emily A Hildebrand & L Bryant Foster

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection - by Shilpa Mahajan & Mehak Khurana & Vania Vieira Estrela

Data Mesh - by Zhamak Dehghani (Paperback)

Smoothing of Multivariate Data - (Wiley Probability and Statistics) by Jussi Sakari Klemelä (Hardcover)

Data Equals - by Colin Koopman

Generative AI for Leaders - by Amir Husain (Hardcover)

The Machine Learning Solutions Architect Handbook - Second Edition - by David Ping (Paperback)

Revolutionizing Medical Systems Using Artificial Intelligence - by Ashish Kumar & Divya Singh (Paperback)

Databricks ML in Action - by Stephanie Rivera & Anastasia Prokaieva & Amanda Baker (Paperback)

Statistics for Nursing Research - 4th Edition by Susan K Grove & Daisha J Cipher (Paperback)

Hacking Healthcare - by Fred Trotter & David Uhlman (Paperback)