Introduction to data mining with case studies ebook

Data Analysis Book Description: An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data.

Introduction to data mining with case studies ebook

Computer Technology Nonfiction An accessible guide to machine learning principles for programmers. Features hands-on example projects, real-world case studies, and easy-to-understand explanations.

Introduction to data mining with case studies ebook

Practical Machine Learning is a clear, hands-on introduction to machine learning written for programmers — no extensive background in math required. You'll learn the fundamentals of machine learning and how to use WEKA, a suite of free, open-source tools to build and test "smart" algorithms and incorporate them into your code.

The book breaks down the machine learning process, including conducting litmus tests to develop a strategy, preparing your data, preprocessing, and increasing the performance of your algorithm through data normalization.

You'll test your new skills with three hands-on experiments: Rather than wallowing in theory, the book is packed with real-world examples, code snippets, and case-studies that put each lesson into practice.

Welcome to the Support Website to our Book

Wrapping up with an overview of how to identify Big Data and manage extremely large datasets, Practical Machine Learning is an accessible introduction to this rapidly growing industry, perfect for any programmer looking to apply its principles to their work.Jul 18,  · If you have an abundance of data, but no idea what to do with it, this book was written for you!

Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides you with excellent starting points and practical guidelines to begin data mining .

Presents an introduction into using R for data mining applications, covering most popular data mining techniques Provides code examples and data so that readers can easily learn the techniques Features case studies in real-world applications to help readers apply the techniques in their work and studies/5(5).

Studying the case studies provides the reader with a greater insight into the data mining techniques. The book also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students.

Download introduction-to-data-mining or read introduction-to-data-mining online books in PDF, EPUB and Mobi Format.

Click Download or Read Online button to get introduction-to-data-mining book now.

Account Options

This site is like a library, Use search box in the widget to get ebook that you want. Note:! The Rapid-I team keeps on mining and we excavated two great books for our users. The first one, Data Mining for the Masses by Matthew North, is a very practical book for beginners and intermediate data miners, whereas The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman provides a deep insight [ ].

Download introduction-to-data-mining or read introduction-to-data-mining online books in PDF, EPUB and Mobi Format.

Case Study Research The Quick Guide Series | Download PDF EPUB eBook

Click Download or Read Online button to get introduction-to-data-mining book now. This site is like a library, Use search box in the widget to get ebook that you want. Note:!

Sorry! Something went wrong!