- Stupid Beginner Question (factorio game analogy) https://www.youtube.com/watch?v=IHZwWFHWa-w 4 comments mlquestions
- Gradient descent - how neural networks learn | Deep learning, part 2 [3Blue1Brown] [21:01] https://youtu.be/IHZwWFHWa-w 57 comments math
Linking pages
- GitHub - Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding https://github.com/Avik-Jain/100-Days-Of-ML-Code 35 comments
- Techniques for Training Large Neural Networks https://openai.com/blog/techniques-for-training-large-neural-networks/ 23 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- A Visual Introduction to Neural Networks - by Nick M https://photonlines.substack.com/p/grokking-neural-networks 14 comments
- omg are u wearing unprofessional airpods https://farza.substack.com/p/omg-are-u-wearing-unprofessional 9 comments
- GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
- Gradient Descent from scratch - Philipp Muens https://philippmuens.com/gradient-descent-from-scratch/ 0 comments
- [Article.Ai] The easiest artificial neural network work tutorial you’ll probably ever find. (revised) | by God Bennett | Medium https://medium.com/@jordanmicahbennett/the-easiest-artificial-neural-network-work-tutorial-youll-probably-ever-find-a8711bd1cb07 0 comments
- How companies use collaborative filtering to learn exactly what you want https://medium.freecodecamp.org/how-companies-use-collaborative-filtering-to-learn-exactly-what-you-want-a3fc58e22ad9 0 comments
- Understanding the Web: Parsing Web Pages Semantically | by Raul Incze | teleporthq.io | Medium https://medium.com/teleporthq-io/understanding-the-web-parsing-web-pages-semantically-805ef857854d 0 comments
- GitHub - elicit/machine-learning-list https://github.com/elicit/machine-learning-list 0 comments
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