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

machine learning study plan / learning path

A curated daily study plan with resources and schedule for software engineers to become machine learning engineers, inspired by coding interview university.

28.9kCC-BY-SA-4.0dormant · last push 2.3y agoGitHub

Drop-in peers

Same problem, same approach. Swapping one for another is a config change, not a rewrite.

rohitg00/ai-engineering-from-scratchGitHub

Choose if you want a more recently maintained, project-driven AI learning path with the same hands-on approach.

Learn it. Build it. Ship it for others.

54.5k
Python
MIT
active1mo ago
AMAI-GmbH/AI-Expert-RoadmapGitHub

Choose for a role-based roadmap with clearer specialization tracks than the seed's general plan.

Roadmap to becoming an Artificial Intelligence Expert in 2022

31.2k
JavaScript
MIT
slowing1.1y ago

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

instillai/machine-learning-courseGitHub

Choose if you prefer a structured Python course over a self-directed reading plan, though it is less actively maintained.

:speech_balloon: Machine Learning Course with Python:

7.0k
Python
none
dormant1.9y ago
HenryNdubuaku/maths-cs-ai-compendiumGitHub

Choose if you prefer a math-heavy textbook-style compendium with intuition over a link-driven schedule.

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

7.4k
TypeScript
Apache-2.0
active3mo ago

Older generation, or narrower

An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.

patrickloeber/ml-study-planGitHub

A free ML study plan that is stale; choose it only if you want a concise alternative and can tolerate outdated links.

The Ultimate FREE Machine Learning Study Plan

3.2k
none
dormant2.3y ago

Listed as an alternative to

These projects were analysed and named machine-learning-for-software-engineers among their alternatives. The relationship is not symmetric — how machine-learning-for-software-engineers rates them is a separate judgement, made when machine-learning-for-software-engineers is analysed in its own right.

microsoft/AI-For-BeginnersGitHub

calls machine-learning-for-software-engineers “choose it for a self-directed daily study plan with external links, aimed at software engineers.”

12 Weeks, 24 Lessons, AI for All!

68.5kJupyter Notebookactive
patchy631/ai-engineering-hubGitHub

calls machine-learning-for-software-engineers “An outdated ML study plan (2018); useful only for classical ML background.”

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

37.5kJupyter Notebookactive
AMAI-GmbH/AI-Expert-RoadmapGitHub

calls machine-learning-for-software-engineers “Choose if you want a daily study plan for becoming an ML engineer, but it hasn't been updated in years.”

Roadmap to becoming an Artificial Intelligence Expert in 2022

31.2kJavaScriptslowing