News and signals attributed to Machine Learning, with links to Hooshware coverage and the original publication.
π Python Reference for Data Science and Machine Learning PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning. You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation. It includes a search function, organization by difficulty level, cheat sheets, and checklists. Link: https://py-ds-ml.ru/ #russian #ML
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This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide." It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning. https://github.com/Nicolepcx/transformers-the-definitive-guide https://t.me/MachineLearning9 π€©
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π Learning Mathematics β How to Stop Being Afraid of Math The author explains that mathematical thinking is not an innate talent, but a skill that develops gradually through practice, time, and systematic work. Useful reading for those who are building their math foundation for Data Science and Machine Learning. βLink to the book
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Try it, it's free, your AI assistant
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π¨ Cambridge has just released a real bombshell this time. π A whole collection of classic textbooks on AI and machine learning is now available for free in PDF format. If you want to really understand machine learning and don't want to waste money on overpriced courses, these ten books will be enough to build a very solid foundation. From simple to complex. 1οΈβ£ Understanding Machine Learning One of the best books for beginners. It covers the basic theoretical algorithms of machine learning. π https://cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf 2οΈβ£ Mathematical Foundations of Machine Learning If you're not very confident in your math skills, I would start here. π https://mml-book.github.io/book/mml-book.pdf 3οΈβ£ Mathematical Analysis of Machine Learning Algorithms A more in-depth look at the mathematical principles of machine learning algorithms. π https://tongzhang-ml.org/lt-book/lt-book.pdf 4οΈβ£ Theoretical Principles of Deep Learning The theoretical foundations of deep learning and an understanding of why it all works. π https://arxiv.org/pdf/2106.10165 5οΈβ£ Neural Networks and Learning Machines A systematic analysis of neur
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