Toño Rojas Ramos @tinyplack

Physicist Institute of Physics, UNAM Nacional Autonomous University of Mexico Mexico Joined March 2017

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Vaishnavi @_vmlops

3 weeks ago

Language Models Interview Handbook drive.google.com/file/d/1SikCWx…

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Esto no es un “truco”. Es el futuro de los agentes IA. Un desarrollador japonés acaba de desbloquear el verdadero poder de Claude Code con un skill llamado “find-skills”. x.com/sakevoid/statu… Lo instalas una sola vez como un mini-paquete MCP y Claude deja de ser un simple chatbot: ahora escanea automáticamente cientos de skills del ecosistema de Anthropic (y de la comunidad), elige los mejores y arma él solo el workflow completo que necesitas. Un solo prompt = flujo entero funcionando: • Script de vídeo (Notion + Claude) • B-roll (Veo 3) • Thumbnail (Sora) • Caption + programación (Buffer) • Seguimiento de rendimiento (Typefully) El creador de YouTube solo escribe el outcome deseado. La IA se encarga de todo lo demás. Mientras la mayoría sigue diciéndole a ChatGPT “escribe esto”, otros ya tienen un agente que orquesta su negocio entero. Cómo probarlo tú mismo (30 segundos): npx skills add github.com/vercel-labs/sk… --skill find-skills Luego en Claude Code solo dile: “Encuentra las skills ideales para [tu objetivo]” Esto es agentic AI de verdad: no prompts aislados, sino inteligencia que se auto-configura y encadena herramientas. El que lo entienda primero se va a comer el mercado. GUÁRDALO. Pruébalo YA.

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Joruno @wsl8297

a month ago

推荐一本 GitHub 上的免费机器学习与 AI 学习书：Machine Learning Q and AI。全书围绕 30 个机器学习与人工智能的核心问题展开，从神经网络到模型部署，把关键知识点一次讲清。 GitHub：github.com/rasbt/MachineL… 在线阅读：sebastianraschka.com/books/ml-q-and… 内容按 5 条主线系统梳理：神经网络、深度学习、计算机视觉、自然语言处理、模型部署，学起来更有路径、更不容易漏重点。无需下载，打开就能免费读，适合从入门到进阶、再到实战落地的各层级开发者。

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Tom Dörr @tom_doerr

2 months ago

Offline scientific writing with Claude, LaTeX, and Python github.com/delibae/claude…

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Alif Hossain @alifcoder

2 months ago

Finance analysts earn $95k–$250k/year. The ones using Claude AI close work 3x faster. 📘 Claude AI for Finance Professionals — 120+ institutional-grade prompts for equity research, DCF, fixed income, portfolio strategy, earnings analysis, and IB workflows. Excel models included. Normally $189 → 100% FREE for 48 hrs Like + RT + comment 'Ebook' Must Follow me so I can DM you.

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✦ VISUAL AI ✦ @VisualconAI

2 months ago

🚨 ULTIMA HORA: Anthropic acaba de demostrar que la mayoría usa Claude completamente mal. Su propio equipo publicó un workshop de 24 min. Hay 6 elementos en todo prompt bien hecho. La mayoría usa 1, máximo 2. Llevas meses al 30% de su potencial.

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Toño Rojas Ramos @tinyplack

2 months ago

@CAPUFE Me puedes decir que mierda hay pasando la caseta de San Martín… hay un cagadero y seguramente es por sus obras

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Vikas Singh @vikas_ai_

2 months ago

Learn AI for free directly from top companies. 1 - Anthropic: anthropic.skilljar.com 2 - Google: grow.google/ai 3 - Meta: ai.meta.com/resources/ 4 - NVIDIA: developer.nvidia.com/cuda 5 - Microsoft: learn.microsoft.com/en-us/training/ 6 - OpenAI: academy.openai.com 7 - IBM: skillsbuild.org 8 - AWS: skillbuilder.aws 9 - DeepLearning.AI: deeplearning.ai 10 - Hugging Face: huggingface.co/learn 👇Comment "Learning" if you find this helpful. Repost so others can take help. Must bookmark for future reference.

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Kirk Borne @KirkDBorne

3 months ago

[Download 433-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: arxiv.org/abs/2401.00649 —————— #Mathematics #DataScience #LinearAlgebra #Statistics #DataScientist #ML

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Leonard Rodman @RodmanAi

3 months ago

MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD): 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding Deep Learning udlbook.github.io/udlbook/ 3. Algorithms for ML algorithmsbook.com 4. Reinforcement Learning andrew.cmu.edu/course/10-703/… 5. Introduction to Machine Learning Systems mlsysbook.ai/book/assets/do… 6. Deep Learning deeplearningbook.org 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…

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Swapna Kumar Panda @swapnakpanda

3 months ago

"Machine Learning from Stanford" The BEST by 🐐 Andrew Ng - The complete lecture notes for the CS229 course is available FREE. Download from here → cs229.stanford.edu/main_notes.pdf

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Kirk Borne @KirkDBorne

3 months ago

Introduction to Markov Chain Monte Carlo (MCMC) Methods: medium.com/data-science/i… ➕ Detailed example (with code) of MCMC Simulation: bookdown.org/kevin_davisros… ➕➕ A book: amzn.to/3QfDQus ➕➕➕ See the thread below by @selcukorkmaz ⬇️ ⬇️ ⬇️

Selçuk Korkmaz @selcukorkmaz

3 years ago

Explaining Markov Chain Monte Carlo (MCMC) to a Layperson 1/ 🧐 Introduction Ever wonder how scientists make educated guesses about complex things, like predicting the weather or understanding the spread of a disease? They often use a method called MCMC. Let's break it down!