一套面向 Python 开发者的 AI 智能体（Agent）自学教程。围绕斯坦福大学 Stanford CS329Z 的公开材料，用中文讲解如何构建、评测和改进 Agent：从大语言模型、RAG、工具调用，到记忆、多 Agent 协作和安全防护。 Chinese study guide for Stanford CS329Z: Engineering AI Agents. Includes 19 ...

Learn Python first, build machine learning fundamentals next, and explore Generative AI through practical projects. Follow a 12-week roadmap with free resources to develop useful AI skills confidently ...

In this first installment, I will look back on the Python 3 Certified Engineer Basic Examination that I obtained during ...

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

Overview Machine learning platforms support model development, training, testing, deployment, and performance ...

When self-studying Python, many people look into the Python 3 Certified Engineer Basic Exam because they want a tangible goal ...

Guido van Rossum wrote Python over a 1989 Christmas break. By 2018 it ran AI and the web, and a fight over the walrus ...

A search engine is a software system designed to search for information on the World Wide Web, identifying results relevant ...

There are many free tools to learn coding and other business and computing skills. Learn about online courses and webinars ...

Follow an end-to-end MLOps workflow across two stages. First, design a training solution, experiment with models, track training with MLflow, and tune hyperparameters. Then, build pipelines, plan an ...

1/ LEARN PYTHON Start with Python basics: variables, loops, functions, and APIs. Build small projects to practice your coding skills. 2/ WATCH A 10-HOUR ML TUTORIAL Learn machine learning fundamentals ...