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.Doing Data Science-Straight Talk from the Frontline[AZW3|EPUB|MOBI]

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.
资源链接
Doing Data Science-Straight Talk from the Frontline AZW3下载 https://n802.com/file/12242611-455837606
Doing Data Science-Straight Talk from the Frontline EPUB下载 https://n802.com/file/12242611-455837614
Doing Data Science-Straight Talk from the Frontline MOBI下载 https://n802.com/file/12242611-455837627
相关分类电子书:
电脑IT: https://n802.com/dir/12242611-20442160-8ecf83
更多电子书:
https://n802.com/dir/12242611-20966803-5282d2
标签

数据挖掘数据分析数据科学datascience机器学习计算机统计O'Reilly

发布日期

2020-08-04

擦亮日期

2021-03-02

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