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ComputingLifeSci

A complete computational biology curriculum — 23 courses covering programming, databases, machine learning, genomics and research infrastructure. Written for biologists, not computer scientists.

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Programming for Biology

Python for Biologists
R for Biologists
Perl for Biologists
MATLAB for Biologists
SAS for Biologists
BioJava for Biologists

Data & Databases

SQL for Biological Databases
Bioinformatics Databases
Big Data Mining for Biologists

AI & Machine Learning

Machine Learning for Biologists
Artificial Intelligence for Biologists
MLOps for Biologists
AI Tools for the Bioinformatics Lab

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Machine Learning for Biologists82 chapters

Overview
How to Use This Course

/Machine Learning for Biologists/Course Introduction

Chapter 2 of 821 min read

How to Use This Course

Each chapter follows the same 15 part structure: 1. Learning Objectives 2. Theory 3. Biological Examples 4. Mathematical Explanation 5. Visuals (illustration placeholders — swap these for real figures when you publish)…

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