October 2021
Beginner
554 pages
12h 52m
English
"If we have data, let's look at data. If all we have are opinions, let's go with mine."— Jim Barksdale, former Netscape CEO
Data science is a very broad term and can assume several different meanings depending on context, understanding, tools, and so on. In order to do proper data science, you need to, at the very least, know mathematics and statistics. Then, you may want to dig into other subjects, such as pattern recognition and machine learning, and, of course, there is a plethora of languages and tools you can choose from.
We won't be able to talk about everything here. Therefore, in order to render this chapter meaningful, we're going to work on a project together instead.
Around 2012/2013, Fabrizio was working ...
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