Data Science from Scratch: First Principles with Python, 2/e (Paperback)
暫譯: 從零開始的資料科學:使用 Python 的基本原則,第二版 (平裝本)

Joel Grus

買這商品的人也買了...

相關主題

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、模組和工具包非常適合進行資料科學,但它們也是深入這個領域的一個好方法,而不需要實際理解資料科學。透過這本更新的第二版,你將學習到許多最基本的資料科學工具和演算法是如何運作的,並從零開始實作它們。

如果你對數學有天賦並且具備一些程式設計技能,作者 Joel Grus 將幫助你熟悉資料科學核心的數學和統計,以及你作為資料科學家所需的駭客技能。當今雜亂無章的數據過剩中隱藏著許多問題的答案,這些問題甚至沒有人想過要詢問。這本書將提供你挖掘這些答案所需的知識。