Data Science: Concepts and Practice
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AlbakiReads Editorial A practice-oriented introduction to core data science methods
A practice-oriented introduction to core data science methods
Data Science: Concepts and Practice pairs a conceptual overview of data science with hands-on work in RapidMiner, an open-source, GUI-based platform. Its scope moves from exploratory data analysis and visualization into methods for identifying patterns, relationships, predictions, and decision-relevant insights in organizational data. The book also sets out to explain the concepts and workings behind 30 commonly used algorithms, while framing their use within a step-by-step data science process. This second edition is positioned as both a foundation for newcomers and a reference point for people already applying analytics in projects.
Good fit for readers who enjoy
- Business users and analysts who work with organizational data
- Engineers and analytics professionals seeking an introduction to data science techniques
- Learners who want to practice data science workflows with RapidMiner
Themes
Data analysisMachine learning algorithmsExploratory data analysisData visualizationPredictive insights
Based on publisher information and book metadata.
Book Overview Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. W...
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.
Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.
You'll be able to:
- Gain the necessary knowledge of different data science techniques to extract value from data.
- Master the concepts and inner workings of 30 commonly used powerful data science algorithms.
- Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform
Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Na
Book Details Format: Paperback | Pages: 568 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 012814761X
FormatPaperback
Pages568
LanguageEnglish
ISBN012814761X
EAN9780128147610
PublisherMORGAN KAUFMANN PUBL INC
Publication Date2018-12-03
Edition2
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight2.13 Pounds
Length9.25 Inches
Width7.5 Inches
Height1.16 Inches
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