Data science libraries, frameworks, modules, and toolkits are great
for doing data science, but they're also a good way to dive into
the discipline without actually understanding data science. With
this updated second edition, you'll learn how many of the most
fundamental data science tools and algorithms work by implementing
them from scratch. If you have an aptitude for mathematics and some
programming skills, author Joel Grus will help you get comfortable
with the math and statistics at the core of data science, and with
hacking skills you need to get started as a data scientist. Today's
messy glut of data holds answers to questions no one's even thought
to ask. This book provides you with the know-how to dig those
answers out.
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