Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was…
There are books about machine learning and there is THE BOOK about machine learning. Written by the Godfather of Machine Learning himself. #machinelearning #book
Master AI step-by-step with this structured roadmap 👇 💡 Covers: ✅ Simple AI Models (ChatGPT, Claude, Gemini) ✅ Basic AI Agents (Make, Zapier, n8n) ✅ Agentic AI (LangChain, CrewAI, AutoGen) Each stage includes what to learn, build & apply — from prompts → reasoning →…
🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗡𝗼𝘁𝗲𝘀 (𝗛𝗮𝗻𝗱𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗣𝗗𝗙) Master the core of 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 —algorithms, models, training, evaluation & real-world examples. Perfect for interviews & AI enthusiasts! 🤖📊 📘FREE for the first 500 people! 1.…
🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝗔𝗰𝘁𝗶𝗼𝗻, 𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 AI isn’t just about prompts anymore — it’s about Agents that think, plan & act on your behalf. ⚡ From LangChain to AutoGPT, this guide covers everything you need to understand how modern AI agents work,…
"Foundations of Machine Learning" A MUST while starting AI/ML. Absolutely Beginner friendly. To get: - 1. Follow (So I can DM you ) 2. Like & retweet 3. Reply " Send "
🎯 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗔𝗜 — 𝗔𝗹𝗹 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁𝘀! A complete bundle of cheat sheets from Stanford and MIT, covering everything from ML fundamentals to advanced AI concepts. 🚀 💡 Perfect for students, developers & AI…
This comprehensive guide will teach you everything you need to know about LLM Agents - from basic concepts to building your own agent. It covers agent frameworks, memory modules, planning systems, multi-agent interactions, real-world examples like BabyAGI, and includes…
#DeepLearning with PyTorch... 1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk… 2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f… 3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML
![KirkDBorne's tweet image. #DeepLearning with PyTorch...
1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk…
2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f…
3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML](https://pbs.twimg.com/media/G5u2B57WYAA4z-n.png)
![KirkDBorne's tweet image. #DeepLearning with PyTorch...
1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk…
2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f…
3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML](https://pbs.twimg.com/media/G5u2D6cWgAALJU_.jpg)
Patterns for Building AI Agents Book for FREE! - Comment AI Agents to get your FREE copy.
🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝗔𝗰𝘁𝗶𝗼𝗻, 𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 AI isn’t just about prompts anymore — it’s about Agents that think, plan & act on your behalf. ⚡ From LangChain to AutoGPT, this guide covers everything you need to understand how modern AI agents work,…
New book from @PacktDataML >> "Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at amzn.to/4622k2h
Best Neural Network Courses - mltut.com/best-neural-ne… @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI…
🚀 The Complete Guide to Building AI Agents — From Zero to Production 🤖 AI Agents are the next big leap in automation — they can think, plan, and execute tasks just like humans ⚡ This guide takes you from basics to building real, production-ready AI Agents — step by step! 💼…
🎯 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗔𝗜 — 𝗔𝗹𝗹 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁𝘀! A complete bundle of cheat sheets from Stanford and MIT, covering everything from ML fundamentals to advanced AI concepts. 🚀 💡 Perfect for students, developers & AI…
GitHub site for the book "Mathematical Methods in Data Science (with Python)" (soon to be published): mmids-textbook.github.io You can pre-order a print copy of the book here (with Amazon price guarantee): amzn.to/3KrbKvu
"Theory of Deep Learning" by Sanjeev Arora PDF: cs.princeton.edu/~arora/TheoryD…
Best Statistics Courses- mltut.com/best-course-on… @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras…
Fisher-Rao distance between multivariate normal distributions not known in closed-form: Approximate Rao's distance by discretizing *special curves c(t)* and approximate Rao's distance between nearby normals by the square root of Jeffreys' divergence. > arxiv.org/abs/2302.08175
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