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Machine Learning with Python

Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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A new collection of free courses has been added: 🔗 https://github.com/dair-ai/ML-Course-Notes Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. 📚 Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠 What's inside: • Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others • A table with lectures, descriptions, videos, notes, and authors • Links to the original lectures and accompanying notes • WIP markers for incomplete materials • Instructions for contributors on adding and improving notes The idea was appreciated. 👍 Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. 🗺️ #MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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Repost from Data Analytics
🔖 The Big Book on Fine-Tuning LLMs A free 115-page book dedicated to the retraining of large language models. 📚 It's suitable for those who want to understand how to prepare datasets, configure training, and improve the quality of LLMs for their tasks. 🚀 #LLM #FineTuning #AI #MachineLearning #DataScience #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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The only LLM cheat sheet you'll ever need 🚀 Covers the main concepts, architectures, and practical applications. ### Basics - Tokens (tokenization, BPE) - Embeddings (cosine similarity) - Attention mechanism (Attention formula, Multi-Head Attention) ### Transformer architecture and its variants - BERT (models with only an encoder) - GPT (models with only a decoder) - T5 (models with an encoder and a decoder) ### Large language models (LLMs) - Prompting (context length, Chain-of-Thought) - Pre-training (SFT, PEFT/LoRA) - Preference tuning (Reward Model, Reinforcement Learning) - Optimizations (Mixture of Experts, Distillation, Quantization) ### Applications - LLM-as-a-Judge (LaaJ) - RAG (Retrieval-Augmented Generation) - Agents (ReAct) - Reasoning models (Scaling) ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A #LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech

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Repost from Machine Learning
FREE MIT books on AI and Machine Learning: 📚🤖 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding
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FREE MIT books on AI and Machine Learning: 📚🤖 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding Deep Learning udlbook.github.io/udlbook/ 3. Introduction to Machine Learning Systems ❯ Vol 1: mlsysbook.ai/vol1/assets/do ❯ Vol 2: mlsysbook.ai/vol2/assets/do 4. Algorithms for ML algorithmsbook.com 5. Deep Learning deeplearningbook.org 6. Reinforcement Learning andrew.cmu.edu/course/10-703/ 7. Distributional Reinforcement Learning direct.mit.edu/books/oa-monog 8. Multi Agent Reinforcement Learning marl-book.com 9. Agents in the Long Game of AI direct.mit.edu/books/oa-monog 10. Fairness and Machine Learning fairmlbook.org 11. Probabilistic Machine Learning ❯ Part 1 : probml.github.io/pml-book/book1 ❯ Part 2 : probml.github.io/pml-book/book2 #MIT #AI #MachineLearning #DeepLearning #ReinforcementLearning #FreeBooks ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Interactive Explainer 🧠✨ The Anatomy of an LLM 🔍 A visual walk through the machinery inside a large language model: from raw text, to tokens, to vectors, to attention, to the next token. ⚙️🧬 🔗 Link: https://www.royvanrijn.com/anatomy-of-an-llm/ #LLM #AI #Tech #NeuralNetworks #MachineLearning #DeepLearning ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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