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MMachine Learning with Python

Machine Learning with Python

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@CodeProgrammer · کانال · فناوری · ایندکس از 2026-04-17
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30پست در 30 روز
4 اکتبر 2026
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Machine Learning with Python
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I found a great resource for interactive learning about machine learning and AI – VizLearn. You can experiment with gradient descent, SVM, PCA, the Bayesian method, BPE tokenization, Q/K/V, KV-cache, quantization, and much more. You can change the input data and see how the calculations themselves change. It's free and doesn't require registration. https://vizlearn.in https://t.me/MachineLearning9
22 · 2.4K ·
5 اکتبر 2026
Machine Learning with Python
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2 · 2.6K ·
6 اکتبر 2026
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Machine Learning with Python
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🛠 Built an AI app with Cursor, Claude Code or Lovable? Publish it on Zibby (zibby.run), a platform for AI web apps. • Your users don't need an API key, and you don't pay AI bills: visitors pay per use • You get a share of every paid AI call in your app • Free hosting during the beta • We help you move the app over We're inviting the first creators of the beta. Best fit: a front-end app where AI is the main feature, even if it never left localhost. 👉 Apply in 2 minutes
10 · 2K ·
7 اکتبر 2026
Machine Learning with Python
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Understanding algorithms changes the way you write code. 🧠 This playlist teaches you exactly that: understanding. Pavel Mavrin. 61 lectures. Free. 🎓 Here's the difference: Before understanding algorithms: - You use hash tables for everything. - You write the code first, then optimize it. - You estimate the time complexity randomly. After: - You choose the appropriate data structure for the task. - You think about complexity before writing the code. - You learn an approach that is suitable for solving the problem. What you will learn: → Time complexity and sorting. → Dynamic programming. → Advanced trees: segment tree, Fenwick tree, splay tree, link-cut tree. → Graph algorithms: traversals, shortest paths, flows. → String algorithms: substring search, suffix structures. → Fast Fourier Transform, linear programming, cryptography. https://www.youtube.com/playlist?list=PLrS21S1jm43igE57Ye_edwds_iL7ZOAG4 https://t.me/CodeProgrammer #Algorithms #ComputerScience #Programming #DataStructures #Learning #Coding ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
20 · 2.1K ·
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A distinctive bot for subscribing to courses on the most popular educational platforms across multiple fields, most notably programming, artificial intelligence, mechanics, medicine, and other sciences. 🎓🤖 This bot provides a free subscription to any course available within the bot. 🆓 https://t.me/UdemySybot?start=ref_418788114 #FreeCourses #Programming #AI #Education #Udemy #TelegramBots
5 · 5.8K ·
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731 ·
9 اکتبر 2026
Machine Learning with Python
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🔖 Official PyTorch Tutorials This collection includes: 🫡 PyTorch fundamentals and torch.nn; 🫡 Computer Vision and transfer learning; 🫡 NLP and RNNs; 🫡 Reinforcement Learning; 🫡 torch.compile and ONNX; 🫡 Distributed Training, FSDP, and Tensor Parallel; 🫡 Profiling and memory optimization; 🫡 Model serving and Ray. A useful resource for both beginners and those already working with PyTorch in production. ⛓https://docs.pytorch.org/tutorials/
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One of the key moments when I truly understood how transformers work: 🧠✨ "Stop thinking of a transformer as a conveyor belt, where each layer transforms the output of the previous one." "Start thinking of it as a residual flow." 🌊 Each block in a transformer has a residual connection that adds the input of the block to its output: x' = f(x) + x Because of this addition, the attention mechanism or MLP within the layer – the function f in the formula above – actually does NOT transform the input. Instead, it calculates the information that needs to be ADDED to the input before passing it to the next block! ➕ Imagine the main part of the transformer as a shared whiteboard. 📝 Each block reads what it needs from it and adds its own notes. All changes are additions. Furthermore, layers can exchange information over distances. A block in the first layer can write information, and a block in the fifth layer can read it, even though there is no direct connection between them. 🔗 I owe these ideas to an older article by Anthropic about the architecture of transformers: transformer-circuits.pub/2021/framework #Transformers #DeepLearning #AI #MachineLearning #NeuralNetworks #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
5 · 1.4K ·
10 اکتبر 2026
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Machine Learning with Python
📚 Download 10 Python books for FREE: 1. Think Python — O’Reilly https://t.co/X7y3pX68IW 2. The Big Book of Small Python Projects https://inventwithpython.com/bigbookpython/ 3. Data Structures https://opendatastructures.org/ods-python.pdf 4. Data Science Handbook https://t.co/9aOLdiAbim 5. Data Analysis https://wesmckinney.com/book/ 6. Data Science https://t.co/TusyBWGfrx 7. Machine Learning https://t.co/7veOwESe8q 8. Statistics https://t.co/waWDQylQpY 9. Think Bayes https://allendowney.github.io/ThinkBayes2/ 10. Clean Code in Python — Packt https://t.co/OHhVgF1L65 #Python #FreeBooks #Programming #DataScience #MachineLearning #Coding ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
57 · 2.1K ·
12 اکتبر 2026
Machine Learning with Python
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"Graph Theory with Applications" is a free textbook that provides a comprehensive introduction to graph theory and its practical applications. The book begins with basic concepts: graphs, subgraphs, paths, cycles, trees, and connectivity. It then moves on to more advanced topics: Eulerian and Hamiltonian graphs, matching, graph coloring, planar and directed graphs, network flows, and extremal graph theory. What is particularly useful is that the authors combine a visual, geometric, and topological understanding of graphs with a rigorous presentation of the mathematical foundations. This makes the book a valuable resource for studying the theory that underlies many modern applications of graphs in computer science, computer networks, optimization, data analysis, and related fields. Book: https://book.huihoo.com/pdf/graph-theory-with-applications.pdf https://t.me/CodeProgrammer
3 · 777 ·
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3 · 740 ·
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🔖 A Comprehensive Resource for Machine Learning Practice The platform offers: 🫡 1200+ machine learning tasks; 🫡 Mathematics, from linear algebra to PCA; 🫡 Deep Learning, NLP, and Computer Vision; 🫡 Labs with real datasets; 🫡 Learning paths and interview preparation; 🫡 Projects using GPT, RL, and CUDA. Almost everything can be accessed directly in your browser, and basic tasks are available for free. ⛓ Link to the platform https://www.deep-ml.com/ #MachineLearning #DeepLearning #DataScience #AI #Coding #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
7 · 443 ·
13 اکتبر 2026
Machine Learning with Python
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🔖 A Comprehensive Resource for Machine Learning Practice The platform offers: 🫡 1200+ machine learning tasks; 🫡 Mathematics, from linear algebra to PCA; 🫡 Deep Learning, NLP, and Computer Vision; 🫡 Labs with real datasets; 🫡 Learning paths and interview preparation; 🫡 Projects using GPT, RL, and CUDA. Almost everything can be accessed directly in your browser, and basic tasks are available for free. ⛓️ Link to the platform https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true #MachineLearning #DeepLearning #DataScience #AI #Coding #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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11 · 1.4K ·
14 اکتبر 2026
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Learn Deep Learning Cheat Sheet @followers #DeepLearning #neuralnetworks #ArtificialIntelligence #machinelearning #ArtificialNeuralNetworks
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14 · 1.4K ·
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پیوند
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Agentic AI is the future. If you want to become god-level with AI agents, save these 10 GitHub repos: 1 Awesome LLM Apps 🔗 https://github.com/Shubhamsaboo/awesome-llm-apps 2 Generative AI for Beginners 🔗 https://github.com/microsoft/generative-ai-for-beginners 3 LLM Course 🔗 https://github.com/mlabonne/llm-course 4 Prompt Engineering Guide 🔗 https://github.com/dair-ai/Prompt-Engineering-Guide 5 AI Agents for Beginners 🔗 https://github.com/microsoft/ai-agents-for-beginners 6 AI Agents Projects 🔗 https://github.com/ashishpatel26/500-AI-Agents-Projects 7 Hugging Face Agents Course 🔗 https://github.com/huggingface/agents-course 8 Awesome AI Agents 🔗 https://github.com/e2b-dev/awesome-ai-agents 9 GenAI Agents 🔗 https://github.com/NirDiamant/GenAI_Agents 10 Agents Towards Production 🔗 https://github.com/NirDiamant/agents-towards-production Anything else you'd add?
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53 · 1.4K ·
15 اکتبر 2026
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Machine Learning with Python
If you want to get GOAT-level at software engineering, save & star these 10 GitHub repos: 1 System design academy ↳ https://github.com/systemdesign42/system-design-academy 2 Public APIs ↳ https://github.com/public-apis/public-apis 3 Tech interview handbook ↳ https://github.com/yangshun/tech-interview-handbook 4 Coding interview university ↳ https://github.com/jwasham/coding-interview-university 5 Engineering leadership ↳ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader 6 Freecodecamp ↳ https://github.com/freeCodeCamp/freeCodeCamp 7 Developer roadmaps ↳ https://github.com/kamranahmedse/developer-roadmap 8 Path to senior engineer handbook ↳ https://github.com/jordan-cutler/path-to-senior-engineer-handbook 9 Free programming books ↳ https://github.com/EbookFoundation/free-programming-books 10 Build your own x ↳ https://github.com/codecrafters-io/build-your-own-x Anything else you'd add? ♻ Repost to help others become better engineers. https://t.me/DataAnalyticsX 🧑🏻‍💻
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36 · 1.6K ·
16 اکتبر 2026
17 اکتبر 2026
Machine Learning with Python
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😰 15-Hour "Python for Data Science" Course ⚡️ Learn Python for Data Science https://enghusseinsheikho.substack.com/p/15-hour-python-for-data-science-course?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true #Python #DataScience #Coding #Tech #Learning #FreeCourse ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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⭐️ If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1️⃣ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2️⃣ LLM Course → https://github.com/mlabonne/llm-course 3️⃣ Build a Large Language Model From Scratch → https://github.com/rasbt/LLMs-from-scratch 4️⃣ Prompt Engineering Guide → https://github.com/dair-ai/Prompt-Engineering-Guide 5️⃣ Awesome LLM Apps → https://github.com/Shubhamsaboo/awesome-llm-apps 6️⃣ OpenAI Cookbook → https://github.com/openai/openai-cookbook 7️⃣ Hands-On Large Language Models → https://github.com/HandsOnLLM/Hands-On-Large-Language-Models 8️⃣ GenAI Agents → https://github.com/NirDiamant/GenAI_Agents 9️⃣ Awesome Generative AI Guide → https://github.com/aishwaryanr/awesome-generative-ai-guide 🔟 Anthropic Courses → https://github.com/anthropics/courses 💬 Anything else you'd add to this list? === 👋 PS - Want my AI Engineering Playbook for FREE? Get a copy right now: → https://systemdesign42.github.io/ai-engineering-playbook/ #GenerativeAI #GitHub #AI #LLM #MachineLearning #TechTips 🌟 Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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32 · 1.1K ·
19 اکتبر 2026
Machine Learning with Python
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🔥 Free IT & Dev Study Kits – 2026 Prep, No Signup If you’re prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip — cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees. 📘 Cert E-Book — covers Cisco & AWS fundamentals, good for first-time cert takers → https://bit.ly/4yrk1Ti 🪜 Online Free Course — structured path, works as a refresher before exams → https://bit.ly/4hUprRP ☁️ Free AI Materials — LLM basics to fine-tuning practice notebooks → https://bit.ly/4yt1iXy 📊 Cloud Study Guide — cheat-sheet style, handy for interview prep → https://bit.ly/4el4Eod 🧠 Free Mock Exam — test yourself before booking the real thing → https://bit.ly/4sbWlkl 📌 Save this or forward it to your dev/study group — good resources are worth sharing. 💪 🌐 Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v 📲 Personalized help: https://wa.link/xd2fu6 #Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers
9 · 1K ·
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💾 Free Deep Learning Course from NASA We found a practical course on applying modern AI methods in astronomy and astrophysics. It covers neural network architectures, generative models, training on scientific data, simulation-based inference, and research AI agents. ⛓ Link to the course https://deeplearning4astro.com/ #AI #DeepLearning #NASA #Astronomy #MachineLearning #DataScience ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
16 · 1.1K ·
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