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Machine learning, deep learning e LLMs — dos fundamentos matemáticos às aplicações práticas.
Materiais introdutórios para quem está chegando agora em Inteligência Artificial.
Exercises and supplementary material for the machine learning operations course at DTU.
Esse é o corte de uma notícia que fez parte do Compilado #256
Quando comecei a ir a eventos de tecnologia, estava na faculdade e ia a todos os gratuitos ou que...
Machine Learning Engineering Open Book
Machine Learning and Agentic AI Resources, Practice and Research
Machine Learning Systems
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
Pi is an amazing coding (or in general: AI) agent. Its killer feature is probably its self-improving nature. Have it build its own extensions!
Learn ML engineering for free in 4 months! Register here 👇🏼
Checkout Neon: https://get.neon.com/HALyXNV
Guia da principal biblioteca de machine learning clássico em Python, com teoria e exemplos por algoritmo.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Esse é o corte de uma notícia que fez parte do Compilado #256
Esse é o corte de uma notícia que fez parte do Compilado #256
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 25/07 a 31/07.
Esse é o corte de uma notícia que fez parte do Compilado #255
Esse é o corte de uma notícia que fez parte do Compilado #255
Esse é o corte de uma notícia que fez parte do Compilado #255
Esse é o corte de uma notícia que fez parte do Compilado #255
Links importantes para você 👇
Agent skills are very useful. And it's just a markdown file. But they're easy to use incorrectly.
Links importantes para você se desenvolver como dev👇
Nesta live, vamos mostrar como organizar o uso de diferentes IAs dentro de um mesmo fluxo de desenvolvimento.
Links importantes para você se desenvolver como dev👇
IA sozinha responde.
Bora se desenvolver em IA para programação com a nossa Masterclass IA
In this Claude API course, you'll learn how to add AI features to your applications using the Claude Client SDK to send messages to a model, receive responses, and render them to the browser.
Links importantes para você chegar no próximo nível tech👇
An overview and starting point for Claude Code.
In this Claude API course, you'll learn how to add AI features to your applications using the Claude Client SDK to send messages to a model, receive responses, and render them to the browser.
Bora se desenvolver em IA para programação com a nossa Masterclass IA
In this Claude API course, you'll learn how to add AI features to your applications using the Claude Client SDK to send messages to a model, receive responses, and render them to the browser.
A field report on running Google's Gemma-4 on AWS Inferentia2: mixed attention heads, the vLLM / optimum-neuron / NxD dead-ends, and the neuronx-cc compiler limits.
We stopped measuring retrieval quality by how many tokens we could fit into the prompt. When...
I built a 36-pattern checklist to catch AI writing tells in my own drafts, calibrated against...
If you’ve spent any time poking around the AIE World’s Fair 2026 website, you may have come across...
Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is...
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Book about interpretable machine learning
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.
Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics
Your Cheat Sheet for Machine Learning Interview – Questions and Answers.
A curated list of awesome Machine Learning frameworks, libraries and software.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
🤖 Machine Learning Summer School Guide
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
:earth_americas: machine learning tutorials (mainly in Python3)
Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).
A roadmap for getting started with Machine Learning
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Machine learning-Stanford University
