Doing Data Science pdf epub mobi txt 電子書 下載 2025


Doing Data Science

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Cathy O'Neil
O'Reilly Media
2013-10-30
352
USD 44.99
Paperback
9781449358655

圖書標籤: 數據挖掘  數據分析  數據科學  datascience  機器學習  計算機  統計  O'Reilly   


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发表于2025-02-01

Doing Data Science epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2025

Doing Data Science epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2025

Doing Data Science pdf epub mobi txt 電子書 下載 2025



圖書描述

Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, you’ll get material from Columbia University’s "Introduction to Data Science" class in an easy-to-follow format.

Each chapter-long lecture features a guest data scientist from a prominent company such as Google, Microsoft, or eBay teaching new algorithms, methods, or models by sharing case studies and actual code they use. You’ll learn what’s involved in the lives of data scientists and be able to use the techniques they present.

Guest lectures focus on topics such as:

Machine learning and data mining algorithms

Statistical models and methods

Prediction vs. description

Exploratory data analysis

Communication and visualization

Data processing

Big data

Programming

Ethics

Asking good questions

If you’re familiar with linear algebra, probability and statistics, and have some programming experience, this book will get you started with data science.

Doing Data Science is collaboration between course instructor Rachel Schutt (also employed by Google) and data science consultant Cathy O’Neil (former quantitative analyst for D.E. Shaw) who attended and blogged about the course.

Doing Data Science 下載 mobi epub pdf txt 電子書

著者簡介

Cathy O’Neil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist on the New York start-up scene, writes a blog at mathbabe.org, and is involved with Occupy Wall Street.

Rachel Schutt is a Senior Research Scientist at Johnson Research Labs, and most recently was a Senior Statistician at Google Research in the New York office. She is also an adjunct assistant professor in the Department of Statistics at Columbia University where she taught Introduction to Data Science. She earned a PhD from Columbia University in statistics, and masters degrees in mathematics and operations research from the Courant Institute and Stanford University, respectively. Her statistical research interests include modeling and analyzing social networks, epidemiology, hierarchical modeling and Bayesian statistics. Her education-related research interests include curriculum design.

Rachel enjoys designing and creating complex, thought-provoking situations for other people. She won the Howard Levene Outstanding Teaching Award at Columbia and also taught probability and statistics at Cooper Union, and remedial math as a high school teacher in San Jose, CA. She was a mathematics curriculum expert for the Princeton Review, and won a game design award for best family game at the Come Out and Play Festival in New York.


圖書目錄


Doing Data Science pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

一本400頁的書,講明白data science,勉為其難啊。不過總得有人給數據科學作為一個完整的主題開個著書立說的頭不是。

評分

很好的入門書

評分

很多地方都講到瞭,語言也很簡練,易理解

評分

#:無

評分

很多很business的東西,看瞭很多隻講算法和扣定的覺得蠻新鮮

讀後感

評分

这本书蛮不错的,就是看的时候碰到一些小错误,记录如下,如果本书的编者看到了,也方便勘误。 P43 第11行 “事”改为“是” P45 第9行 “歌”改为“个” P52 图3-6说明文字第2行 “直”改为“致” P96 正文第6行 “Emprical”改为“Empirical” P103 倒数第4行 “...  

評分

这本书蛮不错的,就是看的时候碰到一些小错误,记录如下,如果本书的编者看到了,也方便勘误。 P43 第11行 “事”改为“是” P45 第9行 “歌”改为“个” P52 图3-6说明文字第2行 “直”改为“致” P96 正文第6行 “Emprical”改为“Empirical” P103 倒数第4行 “...  

評分

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評分

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評分

Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, you’ll get...  

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