Data-Science-Roadmap VS Mathematics-for-ML

Compare Data-Science-Roadmap vs Mathematics-for-ML and see what are their differences.

Data-Science-Roadmap

Data Science Roadmap from A to Z (by Moataz-Elmesmary)
Data Analysis data-engineering Data Science Data Visualization Deep Learning Machine Learning Mathematics Probability Python SQL Statistics Cheatsheet cv-template interview-questions Linear Algebra neural-network
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Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning (by dair-ai)
AI Deep Learning Machine Learning Mathematics ML
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Data-Science-Roadmap Mathematics-for-ML
4 2
2,853 4,172
- 2.7%
8.7 0.0
5 months ago over 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.

Data-Science-Roadmap

Posts with mentions or reviews of Data-Science-Roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-04.

Mathematics-for-ML

Posts with mentions or reviews of Mathematics-for-ML. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Data-Science-Roadmap and Mathematics-for-ML you can also consider the following projects:

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

pycm - Multi-class confusion matrix library in Python

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

ml-blogs-that-are-worth-reading - Blogs on Machine Learning and Deep learning

stat-cookbook - :orange_book: The probability and statistics cookbook

Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

awesome_time_series_in_python - This curated list contains python packages for time series analysis

Portfolio-Guide - A guide and summary to my projects and case studies.

www.mlcompendium.com - The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

building_an_open_ai_network - MIT Press

Michael-s-Data-Science-Curriculum - This is the companion curriculum to my guide to becoming a data scientist.

SQLProjects - A collection of SQL Queries and Projects

Data-Science-Roadmap vs data-engineer-roadmap Mathematics-for-ML vs pycm Data-Science-Roadmap vs Mage Mathematics-for-ML vs ml-blogs-that-are-worth-reading Data-Science-Roadmap vs stat-cookbook Data-Science-Roadmap vs Data-Science-Cheatsheet Data-Science-Roadmap vs awesome_time_series_in_python Data-Science-Roadmap vs Portfolio-Guide Data-Science-Roadmap vs www.mlcompendium.com Data-Science-Roadmap vs building_an_open_ai_network Data-Science-Roadmap vs Michael-s-Data-Science-Curriculum Data-Science-Roadmap vs SQLProjects