mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Structures learning progression across five interconnected domains: problem identification, end-to-end ML workflows, tool selection (frameworks and libraries), mathematical foundations, and curated learning resources. The roadmap uses visual mind-mapping to show dependencies between concepts, with an interactive web version and accompanying video guide providing multiple entry points for different learning styles.
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Dec 08, 2022
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