machine-learning-roadmap
awesome-ml-courses
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 | - |
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 โ 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-ml-courses
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Best AI ML DL DS Roadmap
**[Luspr/awesome-ml-courses on GitHub](https://github.com/luspr/awesome-ml-courses)**: This is an excellent resource for finding courses related to machine learning. It's ideal if you prefer structured learning through courses.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap โ 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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[D] Roadmap.sh vs Al Expert Roadmap
[github.com] luspr/awesome-ml-courses
- awesome-ml-courses: NEW Courses - star count:2458.0
- awesome-ml-courses: NEW Courses - star count:2421.0
What are some alternatives?
applied-ml - ๐ 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)