AI-Expert-Roadmap

AMAI-GmbH / AI-Expert-Roadmap

一份 2022 年人工智能专家成长路线图,系统梳理从基础到进阶的学习路径与资源。

JavaScript 数据科学 开发工具 模型训练 AI学习路线 知识图谱 机器学习 深度学习 学习资源

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项目以知识图谱形式呈现 AI 学习路线,涵盖数学、机器学习、深度学习、NLP、计算机视觉等方向,适合想系统入门或查漏补缺的开发者。优点是结构清晰、资源丰富,缺点是基于 2022 年技术栈,部分内容时效性有限,建议结合最新工具链使用。

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来自 GitHub README · main 分支

i.am.ai
AI Expert Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert. We made these charts for our new employees to make them AI Experts but we wanted to share them here to help the community.

If you are interested to become an AI EXPERT at AMAI in Germany, or you want to hire an AI Expert, please say hi@am.ai.

Note

👉 An interactive version with links to follow about each bullet of the list can be found at i.am.ai/roadmap 👈

To receive updates star :star: and watch :eyes: the GitHub Repo to get notified, when we add new content to stay on the top of the most recent research.

Follow our AI Newsletter to stay up to date with the latest developments in AI. We cover new use cases and research topics.

Disclaimer

The purpose of these roadmaps is to give you an idea about the landscape and to guide you if you are confused about what to learn next and not to encourage you to pick what is hip and trendy. You should grow some understanding of why one tool would be better suited for some cases than the other and remember hip and trendy never means best suited for the job.

Introduction

Fundamentals

Data Science Roadmap

Machine Learning Roadmap

Deep Learning Roadmap

Data Engineer Roadmap

Big Data Engineer Roadmap

🚦 Wrap Up

If you think any of the roadmaps can be improved, please do open a PR with any updates and submit any issues. Also, we will continue to improve this, so you might want to watch/star this repository to revisit.

🙌 Contribution

Have a look at the contribution docs for how to update any of the roadmaps

  • Open pull request with improvements
  • Discuss ideas in issues
  • Spread the word
  • Reach out with any feedback

Supported By

文档抓取自 GitHub 仓库 README,版权归原作者所有;已过滤徽章等噪音并经安全消毒后展示。