ML-University
go
| ML-University | go | |
|---|---|---|
| 6 | 7 | |
| 796 | 24,337 | |
| - | 0.5% | |
| 3.4 | 4.0 | |
| 7 months ago | 5 months ago | |
| HTML | ||
| - | The Unlicense |
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ML-University
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Daily Ask Anything: 2022-07-18
For ML: Free ML University is a fantastic resource. I also really like Andrew Ng's courses on Coursera.
- From where can I learn Data Science?
- A Clear roadmap to complete learning AI/ML by the end of 2022 from ZERO
- What to learn next?
- How to start learning ML
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Free resource for Learning Machine Learning/ DL / NLP
Here is the link for the same repo: ML-University
go
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quiero aprender a programar.
Data Science Masters: http://datasciencemasters.org/
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what's next? for a beginner studying ds?
GitHub - datasciencemasters/go: The Open Source Data Science Masters
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Daily Ask Anything: 2022-07-18
For Data Science: something like Data Science Masters is fantastic. Especially if you're weaker on the math side of things.
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B.Sc Physics to Data Science: Need advice on the transition for employability and growth
You can also follow the resources on this page: http://datasciencemasters.org/
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How relevant is “A super harsh guide to machine learning” for someone who is just tinkering with machine learning?
One of the comments points to datasciencemasters.org, which has gotten a bit stale, but has a link to Coursera's Data Science specialization which is on my short list for what to do next (and that arguably should probably be done before deep learning, but whatever.) There may be other good nuggets on that page. -The Deep Learning Book emits some strong must-read vibes, like one of those slightly cursed items that almost glow in the dark.
- So many bad masters
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Tips on how to practice skills and revise content from csc108 and csc148 over the summer?
I don't know if this is the best way to do it but as someone who just completed first year, here's what I'm trying: -Expand on something I found interesting from those courses -for example try other file compression algorithms -or expand on the one we learned (try advanced Huffman coding?) -Thres an "open-source cs degree" on GitHub that covers the topics we will learn in cs: https://github.com/ossu/computer-science -Also a data science degree: https://github.com/datasciencemasters/go
What are some alternatives?
ai-deadlines - :alarm_clock: AI conference deadline countdowns
arxiv-sanity-lite - arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
overlays - MarketerBay Overlays. Sandbox open source projects.
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
golang-training - Golang for Backend Developer with Nordic Coder
CS7038-Malware-Analysis - Course Repository for University of Cincinnati Malware Analysis Class (CS[567]038)
Recognition-of-logical-document-structures - First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.
UBB-INFO - All projects from university.
resources - Resources on various topics being worked on at IvLabs
lela - Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com
Conversations - A chat-bot that is community-driven and open source – powered by you! (WIP)