demystifying big data and machine learning for healthcare

Deep Learning with R - by Francois Chollet (Paperback)

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

SQL for Data Scientists - by Renee M P Teate (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

Grokking Statistics - by Thomas Nield (Paperback)

Buck's Workbook for Step-By-Step Medical Coding, 2027 Edition - by Elsevier (Paperback)

Bridging Knowledge, Data, and AI - by Joseph Hilger & Lulit Tesfaye & Zachary Wahl (Paperback)

Causal AI - by Robert Osazuwa Ness (Paperback)

Unsupervised Learning - (Computational Neuroscience) by Geoffrey Hinton & Terrence Sejnowski (Paperback)

The Predictive Enterprise - by Edmund Zagorin (Hardcover)

Making Healthcare Safe - by Lucian L Leape (Paperback)

Data Science Essentials for Dummies - by Lillian Pierson (Paperback)

Hands-On Healthcare Data - by Andrew Nguyen (Paperback)

Ai, Numerical Optimization, Iot and Blockchain for Healthcare 4.0 - (Healthcare Technologies) (Hardcover)

Bioinformatics and Machine Learning for Cancer Biology - (Hardcover)

Data Science First - by John Hawkins (Paperback)

Computational Intelligence in Healthcare - (Hardcover)

HBR's 10 Must Reads on Strategy for Healthcare - by Harvard Business Review & Michael E Porter & James C Collins & W Chan Kim & Renée Mauborgne

Doctor AI Reimagining Healthcare Rebuilding Trust Delivering Health 4.0 - by Robin Blackstone (Hardcover)

HBR Guide to Data Analytics Basics for Managers - by Harvard Business Review

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

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

Grokking Deep Learning - by Andrew Trask (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)