machine-learning-roadmap
awesome-algorithms
| machine-learning-roadmap | awesome-algorithms | |
|---|---|---|
| 5 | 34 | |
| 7,164 | 17,727 | |
| - | - | |
| 0.0 | 3.1 | |
| over 1 year ago | 12 days ago | |
| MIT License | - |
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
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Best AI ML DL DS Roadmap
**[Mrdbourke/machine-learning-roadmap on GitHub](https://github.com/mrdbourke/machine-learning-roadmap)**: This GitHub repository is more focused on machine learning. It's a good choice if you're looking for a more community-driven approach, as GitHub repositories often encourage contributions and updates from various experts.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
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100+ Must Know Github Repositories For Any Programmer
7. Machine Learning Roadmap
- Where can I start?
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Machine Learning Roadmap
Original article here: https://github.com/mrdbourke/machine-learning-roadmap
awesome-algorithms
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Anyone interested in contributing to Algorithm opensource with me?
Solved. https://github.com/tayllan/awesome-algorithms
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I didn't go to a IT/CS school, what's the most important concepts i should learn in computer since that will immensely help me as a dev?
This repo.
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Could anyone who purchased and completed Leetcodes's interview crash course "Data Structures and Algorithms" tell me if it's worth the 80 dollars?
I found this with zero effort: https://github.com/tayllan/awesome-algorithms. Just pick one of the courses there if you can't make up your mind.
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Alternative to geeksforgeeks.org ?
https://github.com/tayllan/awesome-algorithms this curated list should be able to help you find more
- Algorithms
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100+ Must Know Github Repositories For Any Programmer
2. Awesome Algorithms
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Karimov's "The Complete Data Structures and Algorithms Course in Python" on Udemy?
Also, GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms
- Looking for sources similar to this (linked below) but for CS
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Sorting algorithms visualized using the Blender Python API
See also https://github.com/tayllan/awesome-algorithms for a list of interactive visualizations, learning resources, etc.
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Best books about computer science theory?
Check out TCS, Algorithms, and Math awesome lists.
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning
awesome-math - A curated list of awesome mathematics resources
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.
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
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.
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
Hello-Kaggle - For someone who is new at Kaggle
xeus-cling - Jupyter kernel for the C++ programming language
Knet.jl - Koç University deep learning framework.
SHOGUN - Shōgun