ml-roadmap and machine-learning-roadmap

These are competitors—both provide curated learning paths for machine learning fundamentals, with the more established roadmap (mrdbourke) offering greater breadth and concept connectivity while the simpler one (loganthorneloe) prioritizes accessibility for beginners.

ml-roadmap
60
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 1,250
Forks: 151
Downloads:
Commits (30d): 4
Language: Python
License: MIT
Stars: 7,797
Forks: 1,174
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About ml-roadmap

loganthorneloe/ml-roadmap

The simplest, most straightforward way to learn ML for free.

This roadmap helps aspiring machine learning practitioners learn AI and ML from scratch. It provides a structured path, starting with foundational programming and math, then moving into core machine learning concepts, and finally AI/ML engineering topics. It's designed for anyone looking to enter the field of machine learning or enhance their existing skills.

Machine-Learning-Education AI-Career-Path Software-Engineering Data-Science-Learning Technical-Skills-Development

About machine-learning-roadmap

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.

machine-learning-education career-guidance data-science-training skill-development technical-onboarding

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