demystifying big data and machine learning for healthcare

Prescribing Healthcare's Future - by Jesse Ehrenfeld (Hardcover)

Data, Ai, and Noise - by Derek W Gibson (Paperback)

Discount Quality for Responsible Data Science - by Barbara Pernici & Tiziana Catarci & Matteo Palmonari & Giovanni Simonini (Paperback)

Machine Learning at Scale with H2O - by Gregory Keys & David Whiting (Paperback)

Linux Observability with Bpf - by David Calavera & Lorenzo Fontana (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

The Definitive Guide to Data Integration - by Pierre-Yves Bonnefoy & Emeric Chaize & Raphaël Mansuy (Paperback)

Python for Data Science - by Jarrel E (Paperback)

Privacy-Preserving Machine Learning - by Srinivasa Rao Aravilli (Paperback)

MLOps with Red Hat OpenShift - by Ross Brigoli & Faisal Masood (Paperback)

AI in Emergency Medicine - by Harvey Castro (Paperback)

The Emerging Science of Machine Learning Benchmarks - by Moritz Hardt (Hardcover)

Machine Learning for Experiment Design - by Jashan Jii (Paperback)

Modern Data Analytics in Excel - by George Mount (Paperback)

A Comparative Study of Very Large Data Bases - (Lecture Notes in Computer Science) by E Jr Hill (Paperback)

Data Science and Machine Learning Demystified - by Liam Stone (Paperback)

Federated Intelligence in Medicine - (Medical Robots and Devices: New Developments and Advances) (Paperback)

Grokking Statistics - by Thomas Nield (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Why Data Wins - by Joachim Vos (Hardcover)

Advances in Multimodal Large Language Models for Healthcare - (Hardcover)

Blockchain Technology and Big Data Analytics - by Raghvendra Kumar & Brojo Kishore Mishra (Hardcover)

Handbook of Cybersecurity for E-Health - (Healthcare Technologies) by Bill Buchanan & Chaloner Chute (Hardcover)