A complete computer science study plan to become a software engineer.
- computer-science
- interview
- programming-interviews
- study-plan
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Translated:books: Essential foundational knowledge for technical interviews, Leetcode, computer operating systems, computer networks, system design
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Roadmap to becoming an Artificial Intelligence Expert in 2022
- deep-learning
- artificial-intelligence
- roadmap
- ai-roadmap
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
TranslatedTo Be Top Javaer - The Road to Becoming a God-Tier Java Engineer
- java
- programmer
- jvm
- spring
Video discussing this curriculum:
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
- cybersecurity
- ethical-hacking
- communityexchange
- learn
🎓 Um caminho para a educação autodidata em Ciência da Computação!
- awesome-list
- curriculo
- cursos
- brasil
Your new Mentor for Data Science E-Learning.
- tensorflow
- machine-learning
- machine-vision
- datascience
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
- embedded
- embedded-systems
- roadmap
- embedded-software
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP
Building 70 Projects ranging from beginner to advanced so anyone can — learn from, build upon, use as a reference, or even copy directly. Owned by my cybersecurity company 👇
- ai
- certification
- cloud-engineering
- cyber
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.
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
A visual overview of useful skills to learn as a web developer
- html
- css
- javascript
- accessibility
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Roadmap to becoming an iOS developer in 2018.
- swift
- ios
- objective-c
- architecture
Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026
An opinionated guide on how to become a professional Web/Mobile App Developer.
- learning-python
- handbook
- learn-to-code
- guidelines
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.
This repository is a compilation of free resources for learning Data Science.
- data-science
- machine-learning
- machine-learning-algorithms
- deeplearning