每天推薦一個 GitHub 優質開源項目和一篇精選英文科技或編程文章原文,歡迎關注開源日報。交流QQ群:202790710;微博:https://weibo.com/openingsource;電報群 https://t.me/OpeningSourceOrg

2018年8月26日:開源日報第171期

今日推薦開源項目:《面試圖譜 InterviewMap》傳送門:GitHub鏈接

推薦理由:有關於面試你需要用到的知識,包括前端,計算機通用型的知識以及你的職業技巧,即使不需要面試,為了補全自己的知識也可以來讀一讀這個。

2018年8月26日:開源日報第171期

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

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

推薦理由:一個關於機器學習的資源匯總

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!


每天推薦一個 GitHub 優質開源項目和一篇精選英文科技或編程文章原文,歡迎關注開源日報。交流QQ群:202790710;微博:https://weibo.com/openingsource;電報群 https://t.me/OpeningSourceOrg