Learn ML

Largest inventory of curated resources on Machine Learning

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Largest inventory of curated resources on Machine Learning

0 followers

Bookmarks on Machine Learning from over 20K sources curated over last 6 years - Now made available for everyone. GitHub repositories, tutorials, web articles, newsletters and more!

Free

Launch tags:Analytics•Developer Tools•Artificial Intelligence

Launch Team

Context.devOne API to scrape, enrich, and extract the internet

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Fyle

Hunter

@piyush_sagar_mishra1 is among the best folks I have known when it comes to Data science and Machine Learning, and he recently went public with his 6+ years of curation of bookmarks on machine learning. From long-form articles to github repositories to datasets to newsletters - This is a gold mine for folks looking to learn ML and for active practitioners. The website has some rough edges - some tags seem misplaced, but this one link should replace a ton of bookmarks for you - Like it did for me :D What are the next steps with this, Piyush?

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5yr ago

Maker

@psmishra Thanks for hunting learn-ml, and glad to hear you're already finding it useful! We have a couple of very interesting updates coming up - 1. Enhanced tagging and search: you rightly pointed out the labelling issues on the portal. we have been working on a limited set of tagged data to build our classification pipeline so far, but the team is building a massive repository of manually tagged assets that would go a long way in improving the tags and search functionality (we would be able to allow highly accurate, specific keyword level searches and wont keep the users limited to the provided themes) 2. Adding learning-journeys for users : this is going to be very interesting; there is an overwhelming amount of content on learn-ml, and in general on the web. our aim is to curate specific courses for users based on their (1) trajectory (Data scientist vs. ML engineer) and (2) skillsets (beginner vs. pro). We have a highly reputed set of industry leaders who're already helping us build these courses 3. Including forum/ community and mentoring support: our expectation is to make learn-ml the one-stop-shop for all content, advisory and knowledge sharing related to machine learning and adjacent topics. We will be launching a forum for people to discuss and share their projects, issues, and general discussions, and with time, we will top it up with 1:1 mentor support 4. Last, but not the least, we are also speaking with multiple startups and early stage companies for them to open up their openings / requests for brainstorming sessions on learn-ml. This would also be integrated with #2 above in the form of private capstone projects, hackathons etc. Hoping to see many more users benefit from what we're building, and looking forward to getting feedback from the larger community!

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5yr ago

@piyush_sagar_mishra1 The charter looks quite nice. To the moon 🚀

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5yr ago

I'm already in love with the tech newsletter compilation! Thanks @piyush_sagar_mishra1 for doing this :)

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5yr ago

Love how articles can be filtered by both topic and content type! I personally like reading detailed guides when it comes to exploring a new topic. This is going to take up my weekends :)

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5yr ago

If there was a Discord community where people can start their own learning journeys together or can add other resources that they find. It will be great. I remember being part of one such "first principles" community, made many friends through it, and had multiple zoom calls with those folks.

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5yr ago

This is going to be my go to place! Looking forward to learn ML 😍🙌

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5yr ago

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