machine-learning-roadmap VS awesome-ml-courses

Compare machine-learning-roadmap vs awesome-ml-courses and see what are their differences.

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. (by mrdbourke)
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machine-learning-roadmap awesome-ml-courses
5 26
7,164 2,571
- -
0.0 0.0
over 1 year ago about 1 year ago
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

machine-learning-roadmap

Posts with mentions or reviews of machine-learning-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

awesome-ml-courses

Posts with mentions or reviews of awesome-ml-courses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

What are some alternatives?

When comparing machine-learning-roadmap and awesome-ml-courses you can also consider the following projects:

applied-ml - ๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Data-science-best-resources - Carefully curated resource links for data science in one place

Hello-Kaggle - For someone who is new at Kaggle

Knet.jl - Koรง University deep learning framework.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)