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erickabdz's review
4.0
The goal of data science is to improve decision making by basing decisions on insights extracted from large data sets. As a field of activity, data science encompasses a set of principles, problem definitions, algorithms and processes for extracting nonobvious and useful patterns from large data sets.
What an excellent introduction to data science! I really, really couldn't have asked for more (except maybe some practical examples pretty please?). Even not knowing much about data science (and maybe because of that) this was a light lecture, full of good info and the best place to start learning for real. It gives you the introduction, explanation of some algorithtms and a long, good talk on Data Science's ethics. A very helpful lecture if you are interested in Data Science, or if you just want to understand the concept.
smoreface's review
5.0
Impressively compact book that manages to touch on pretty much every component of data science. Not perfect, but had a full chapter on ethics and privacy and the oft-overlooked point that data science is only valuable when beginning with a well-defined question and is properly invested in.
matttrevithick's review against another edition
4.0
3.5. Enjoyed this primer - covered a variety of topics coherently, and got appropriately big picture / philosophical when it was useful.
erickabdz's review against another edition
4.0
The goal of data science is to improve decision making by basing decisions on insights extracted from large data sets. As a field of activity, data science encompasses a set of principles, problem definitions, algorithms and processes for extracting nonobvious and useful patterns from large data sets.
What an excellent introduction to data science! I really, really couldn't have asked for more (except maybe some practical examples pretty please?). Even not knowing much about data science (and maybe because of that) this was a light lecture, full of good info and the best place to start learning for real. It gives you the introduction, explanation of some algorithtms and a long, good talk on Data Science's ethics. A very helpful lecture if you are interested in Data Science, or if you just want to understand the concept.
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