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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Independently Published Blurb Createspace Independent Publishing Platform Routledge Lector House World Scientific Publishing Co Pte Ltd Alpha Edition CRC Press Kluwer Law International Cambridge University Press Springer Nature Switzerland AG؛ إصدار 1st ed. 2020 Oxford University Press Book on Demand Ltd. Lulu.com Hardpress Publishing Wentworth Press DK Publishing Coordination Group Publications Ltd Collins Penguin Books Ltd