Data Science from Scratch: First Principles with Python, 2/e (Paperback)

Joel Grus

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商品描述

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.

商品描述(中文翻譯)

資料科學的函式庫、框架、模組和工具套件非常適合進行資料科學工作,但它們也是一種不需要真正理解資料科學就能深入其中的好方法。這本更新的第二版將通過從頭實現這些工具和演算法,讓您了解許多最基本的資料科學工具和演算法的運作方式。

如果您具備數學和一些程式設計技能,作者 Joel Grus 將幫助您熟悉資料科學核心的數學和統計知識,以及作為資料科學家入門所需的駭客技能。今天混亂的大量資料中蘊藏著無人想到的問題的答案。這本書將提供您挖掘這些答案所需的專業知識。