Join 📚 Kevin's Highlights

A batch of the best highlights from what Kevin's read, .

There are many great books and courses on Data Structures and Algorithms but the one I would recommend is a book named *[The Algorithm Design Manual](https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202)* by Steven Skiena. You can also check out his course [here](https://www3.cs.stonybrook.edu/~skiena/373/videos/).

Key Computer Science Concepts Every Software Engineer Should Know – And How to Learn Them

Tamerlan Gudabayev

![.](https://learn.microsoft.com/en-us/training/wwl-azure/build-data-pipeline-azure-synapse-analytics/media/pipeline-concepts.png)

Understand pipelines in Azure Synapse Analytics - Training

wwlpublish

I delineate them by the range of changes considered: **responsible AI** seeks to *make the AI less harmful*, **ethical AI** *challenges if AI should even be used* in certain applications, and **just AI** argues that *AI applications must actively challenge oppression* (if this is even possible).

Classification for AI Ethics

@willie_agnew on Twitter

...catch up on these, and many more highlights