ZuzooVn/machine-learning-for-software-engineers resource

Health v2 · maintenance only

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Adoption not part of the score

28864 stars · 6146 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated, multi-month study plan that guides software engineers from a programming background to machine learning engineering using a top-down, hands-on approach. It aggregates books, MOOCs, video series, Kaggle competitions, and a daily schedule rather than providing any code.

Use cases

• become a machine learning engineer without a CS degree
• find a structured daily study plan for machine learning
• learn ML top-down with minimal math upfront
• transition from software developer to ML engineer
• find books, courses, and Kaggle practice resources for ML
• self-study machine learning curriculum

When to choose

• you are a self-taught or working software engineer wanting a structured path into ML
• you prefer a results-first, hands-on approach over math-heavy theory
• you want a curated list of free courses, books, and practice competitions

When to avoid

• you need an ML library, framework, or runnable code
• you want a rigorous bottom-up mathematical foundation first
• you need an up-to-date resource - the plan is largely maintained rather than actively expanded

Facets

learning-resource · maturity maintenance

machine-learning deep-learning developer-tools machine-learning artificial-intelligence tutorials education cross-platform study-plan curriculum self-learning career-change awesome-list

Member repositories

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markdown · JSON · MCP: product_card(name="ZuzooVn/machine-learning-for-software-engineers")