A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
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TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
TranslatedA trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples.
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
Welcome to the SDE Interview Preparation Roadmap! This repository is not just about my personal journey; it's a collaborative space for collective learning. As I prepare for Software Development Engineer (SDE) interviews, I've created a comprehensive checklist to guide my preparation.
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
- placements
- placement
- placement-preparation
- placement-preparation-portal
First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines