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.
This roadmap helps aspiring machine learning practitioners understand the core concepts, workflows, and tools necessary to tackle real-world ML problems. It provides a structured path from problem identification through solution development, guiding users on what to learn and how to implement it. It's for anyone looking to break into or formalize their understanding of machine learning.
7,797 stars. No commits in the last 6 months.
Use this if you are starting your journey in machine learning and need a clear, comprehensive guide to the field's fundamental components.
Not ideal if you are an experienced machine learning engineer looking for advanced research topics or very specific algorithmic deep-dives.
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Dec 08, 2022
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