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2018年8月26日:开源日报第171期

今日推荐开源项目:《面试图谱 InterviewMap》传送门:GitHub链接

推荐理由:有关于面试你需要用到的知识,包括前端,计算机通用型的知识以及你的职业技巧,即使不需要面试,为了补全自己的知识也可以来读一读这个。

2018年8月26日:开源日报第171期

今日推荐英文原文:《The Best Machine Learning Resources》作者:Vishal Maini

原文链接:https://medium.com/machine-learning-for-humans/how-to-learn-machine-learning-24d53bb64aa1

推荐理由:一个关于机器学习的资源汇总

The Best Machine Learning Resources

General advice on crafting a curriculum

Going to school for a formal degree program for isn’t always possible or desirable. For those considering an autodidactic alternative, this is for you.

1. Build foundations, and then specialize in areas of interest.

You can’t go deeply into every machine learning topic. There’s too much to learn, and the field is advancing rapidly. Master foundational concepts and then focus on projects in a specific domain of interest — whether it’s natural language understanding, computer vision, deep reinforcement learning, robotics, or whatever else.

2. Design your curriculum around topics that personally excite you.

Motivation is far more important than micro-optimizing a learning strategy for some long-term academic or career goal. If you’re having fun, you’ll make fast progress. If you’re trying to force yourself forward, you’ll slow down.

Foundations

Programming

Linear algebra

Probability & statistics

Calculus

Machine learning

Deep learning

Reinforcement learning

Artificial intelligence

Artificial intelligence safety

Newsletters

Advice from others

“You take the blue pill, the story ends. You wake up in your bed and believe whatever you want to believe. You take the red pill, you stay in Wonderland, and I show you how deep the rabbit hole goes.” — Morpheus

Good luck!


每天推荐一个 GitHub 优质开源项目和一篇精选英文科技或编程文章原文,欢迎关注开源日报。交流QQ群:202790710;微博:https://weibo.com/openingsource;电报群 https://t.me/OpeningSourceOrg