Think Like a Data Scientist

Think Like a Data Scientist pdf epub mobi txt 電子書 下載2025

Brian Godsey has worked in software, academia, finance, and defense and has launched several data-centric start-ups.

出版者:Manning Publications
作者:Brian Godsey
出品人:
頁數:425
译者:
出版時間:2017-1-31
價格:USD 44.99
裝幀:Paperback
isbn號碼:9781633430273
叢書系列:
圖書標籤:
  • 大數據 
  • 計算機 
  • 自然科學 
  • 數據分析 
  • machine_learning 
  • Statistics 
  • Programming 
  • Data 
  •  
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Summary

Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there.

About the Book

Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice.

What's Inside

The data science process, step-by-step

How to anticipate problems

Dealing with uncertainty

Best practices in software and scientific thinking

About the Reader

Readers need beginner programming skills and knowledge of basic statistics.

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