NY: InfoQ, 2016. — 43 p.
Making best use of data is fast becoming a critical skillset, not only for professional data scientists but also for software developers in general, whether moving into that specialist field or simply wanting to have data science as one tool in the arsenal. As a developer, how can you start to get a handle on data, choose the best tools and libraries, navigate through the maths and stats, and get useful results?
This eMag looks at data science from the ground up, across technology selection, assembling raw and unstructured data, statistical thinking, machine learning basics, and the ethics of applying these new weapons.