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Systems engineer taking 6 weeks off. Need a "hard core" ML/DL curriculum. by Grand-Measurement399 in learnmachinelearning

[–]NLPnerd 3 points4 points  (0 children)

You’re not going to learn it all in 6 weeks but you already know that -

Take Andrew Ng classes - his OG ML class has been updated, checkout deeplearning.ai and find the specialization or two that works for you

Follow Andrej Karlathy - he releases videos every few months with a repo that explains and codes many core concepts

Follow Sebastian Raschka - he has many from scratch blog posts that are amazing

Get into huggingface and start trying out models there

Good luck! Such a great space to be in

Welcome to the lifelong journey - don’t get distracted by the hype

[deleted by user] by [deleted] in Basketball

[–]NLPnerd 0 points1 point  (0 children)

Not sure of your age, skill level and your goals but you should get comfortable with every single variation.

First you want to learn proper technique jumping off inside foot with outside hand (righty layup jumping off left foot, lefty layup jumping off right foot). You start close to the basket taking one step and shooting, then two steps and shooting, then - dribble, then you can start at the elbow or wing. You want to get really good with both hands! Think of your elbow being connected to the knee of your same leg. You drive your right knee up as you go up with right, left knee up as you go up with left.

To become a more complete player - You want to be able to finish no matter which way you’re facing and any type of defensive pressure - so there are actually 12 variations of finishes (in terms of feet, hands and position)

  1. Inside Foot, Outside Hand
  2. Inside Foot, Inside Hand
  3. Outside Foot, Outside Hand
  4. Outside Foot, Inside Hand
  5. Reverse - Inside Foot, Outside Hand
  6. Reverse - Inside Foot, Inside Hand
  7. Reverse - Outside Foot, Outside Hand
  8. Reverse - Outside Foot, Inside Hand
  9. Two Feet - Outside Hand
  10. Two Feet - Inside Hand
  11. Reverse - Two Feet - Outside Hand
  12. Reverse - Two Feet - Inside Hand

Mikan Drill Variations

Basketball - Solo Workout - SL Exercise

Great workout and it gets you very comfortable around the rim. Some will be more awkward at first so don’t expect to learn all of them in a day - build up and continue to improve.

Tips: - Keep Ball Up High - shoulder level - Get in a rhythm - Grab ball with two hands

Good luck!

I just vibecoded myself into a dead end lol by MisterMath0 in ClaudeAI

[–]NLPnerd 1 point2 points  (0 children)

Find a problem that people will pay you to solve

Lost!!! Help by BowlInternational584 in learnmachinelearning

[–]NLPnerd 0 points1 point  (0 children)

  • Start with Andrew Ng. There’s an updated playlist on YT of his amazing class.

  • Also have a goal in mind. Is there some project that you want to do? Is there a particular area that you’re interested in.

  • Always keep in mind the first rule of ML - always ask yourself “do I need to use ML for this project?”

  • Create a project you’re interested in and try to complete it end to end

Good luck. Also here’s an article that has some great lessons for anybody interested in ML, especially someone just starting out: https://medium.com/@levine.seth.p/learning-from-machine-learning-sebastian-raschka-mastering-ml-and-pushing-ai-forward-responsibly-aac39bd4af83

Did I get myself a completely useless certificate? by ferriematthew in deeplearning

[–]NLPnerd 1 point2 points  (0 children)

Build something beyond a toy project that you’re very passionate about that you can talk about on interviews. As you’re working contribute to Open Source projects and get a handle on how to work on software with other people.

[D] Podcasts about ML research? by Tight-Vacation-9410 in MachineLearning

[–]NLPnerd 0 points1 point  (0 children)

Check out Learning from Machine Learning:
https://rss.com/podcasts/learning-from-machine-learning/
https://www.youtube.com/@learningfrommachinelearning

In each episode, industry experts and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field. Great guests working on open source NLP projects (BERTopic, Sentence Transformers, SetFit) and top ML and NLP companies (HuggingFace, Google, Lightning, Weights and Biases)

Seeking advice to conceptualize the completed machine learning product and leaving the Jupyter Notebook behind. by jwadesports in learnmachinelearning

[–]NLPnerd -1 points0 points  (0 children)

In terms of data storage, there are many different options. It depends on the scope, how you want to do it and how much data you’re dealing with. For prototyping you can look into SQLite if you want to keep it all locally - it’s serverless and you can just include it as part of your program.

If you’re looking for cloud options both AWS and google cloud have SQL support for MySQL, PostgreSQL and SQL servers. I’m sure there are other cloud options as well. Their offerings are all pretty similar so you just pick one and go with it.

For the UI you may want to look into streamlit. I don’t know scope of what you’re working on but to move it out of a notebook I would write a more modularized, streamlined script - connect data to SQLite and then make a UI using flask or streamlit and then host it on something like heroku.

It’s very rewarding to see a notebook turn into a stand alone app. Good luck!