machine-learning-roadmap VS You-Dont-Know-JS

Compare machine-learning-roadmap vs You-Dont-Know-JS 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 You-Dont-Know-JS
5 303
7,164 176,318
- -
0.0 4.8
over 1 year ago 3 months ago
MIT License GNU General Public License v3.0 or later
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.

You-Dont-Know-JS

Posts with mentions or reviews of You-Dont-Know-JS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-19.

What are some alternatives?

When comparing machine-learning-roadmap and You-Dont-Know-JS you can also consider the following projects:

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

Crafting Interpreters - Repository for the book "Crafting Interpreters"

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

Numba - NumPy aware dynamic Python compiler using LLVM

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.

front-end-interview-handbook - ⚡️ Front End interview preparation materials for busy engineers

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.

awesome-cheatsheets - 👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

Hello-Kaggle - For someone who is new at Kaggle

clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript

Knet.jl - Koç University deep learning framework.

learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!