machine-learning-roadmap VS developer-roadmap

Compare machine-learning-roadmap vs developer-roadmap 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 developer-roadmap
5 2,112
7,164 275,643
- -
0.0 9.8
over 1 year ago 6 days ago
TypeScript
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.

developer-roadmap

Posts with mentions or reviews of developer-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-26.

What are some alternatives?

When comparing machine-learning-roadmap and developer-roadmap you can also consider the following projects:

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

C++ Workflow - C++ Parallel Computing and Asynchronous Networking Framework

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

computer-science - :mortar_board: Path to a free self-taught education in Computer Science!

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.

freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

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-engineer-roadmap - Roadmap to becoming a data engineer in 2021

Hello-Kaggle - For someone who is new at Kaggle

substrate - Substrate: The platform for blockchain innovators

Knet.jl - Koç University deep learning framework.

system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.