Machine Learning

A Collection of Machine Learning Libraries for Python 🤖 A large repository containing over 900 libraries and frameworks for machine learning. 📚 All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. ⚙️ Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann #MachineLearning #Python #AI #DataScience #MLTools #Programming ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

🔖 ML algorithms in visualizations A useful repository that helps you understand how machine learning algorithms work – through interactive diagrams and step-by-step explanations. You can run it in your browser or locally using Docker. ⛓ Link to GitHub https://github.com/gavinkhung/machine-learning-visualized

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"The Mathematics of Bitcoin" is a concise work that analyzes Bitcoin from a mathematical perspective. 📊 It utilizes probability theory, stochastic processes, martingales, combinatorics, and special functions to explore the mechanisms of the Bitcoin protocol. 🧮 In particular, the authors examine the probability of double-spending, the profitability of mining, block generation, miner strategies, and the resilience of the protocol. ⛏️ If you want to delve deeper, I also recommend "Bitcoin and Cryptocurrency Technologies" from Princeton University. This is a much broader introduction to cryptographic hash functions, digital signatures, consensus, Proof of Work, mining, transactions, anonymity, security, and the incentive system in cryptocurrencies. 🎓 Save both of these resources. They are excellent materials if you're interested in understanding the mathematics and technical mechanisms of Bitcoin. 💾 The Mathematics of Bitcoin: https://arxiv.org/pdf/2003.00001 Bitcoin and Cryptocurrency Technologies: https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf #Bitcoin #Mathematics #Cryptocurrency #Blockchain #Princeton #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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🔖 A comprehensive collection of resources on MLOps We've found a useful collection for those who want to go beyond just training models and delve into their deployment and operation. This repository contains the best materials on deploying, monitoring, automating ML pipelines, CI/CD, and other practices that are essential for production systems. ⛓ Link to GitHub https://github.com/visenger/awesome-mlops

🔖 Google DeepMind has released a book titled "How to Scale Your Model." It explains how to scale and deploy models even with limited computing resources. It's useful for those who work on optimizing and deploying ML models. ⛓ Link to the book https://jax-ml.github.io/scaling-book

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