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Mathematics for Clinical & Health Data Sciences: A gentle introduction for beginners (Guides for clinical and health data sciences)

Universities

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Description

This book is perfect for those from a health/social care background who want to learn about topics like Health/Clinical Data Science and Machine Learning but don’t have any (or little) previous formal mathematical or engineering training. Written by a lecturer in Health Data Science with a background in Computer Science and Nursing, the book introduces the mathematical concepts that underpin many Data Science and Machine Learning concepts. Mathematical examples are introduced with practical implementations in both Python and R. The text was designed to introduce learners to key concepts by learning from doing. Features include: Aside from basic numeracy, no previous mathematical or coding knowledge is assumed Explanation of math notation, with examples (all steps included) Reflective learning points throughout Remarks and additional information on key topics Numerous examples and case studies How to implement these concepts with a computer Code presented in both Python and R (and other tools) Chapter questions with full answers available at the end of the book Mathematical topics intersecting Data Science, Computer Science and Machine Learning Contents: Introduction Functions Logic, Boolean algebra and sets More algebra Matrices and vectors Graphs and trees Probability Calculus Algorithms Regression Statistical learning Answers to exercises Appendix: notation

Product Specifications

Format: paperback
ASIN: B0GHNB2J7B
Category: Books > Subjects > Education Studies & Teaching > Higher & Further Education > Universities
Domain: Amazon UK
Release Date: 16 January 2026
Listed Since: 19 January 2026

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Mathematics for Clinical & Health Data Sciences: A gentle introduction for beginners (Guides for clinical and health data sciences)

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