Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods

Name: Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
Brand: Springer Verlag
SKU: 9781484297704
Price: 3507.0 INR
Availability: InStock

by Hong Zhou

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ISBN13: 9781484297704
Binding: Paperback
Subject: Computer Science and Information Technology
Publisher: Springer Verlag
Publisher Imprint: Apress
Publication Date: January 1, 2023
Pages: 288
Original Price: USD 49.99
Language: English
Edition: N/A
Item Weight: 527 grams
BISAC Subject(s): Programming / Microsoft and Data Science / Data Analytics

About The Book

From the Back Cover

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how.

This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You'll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages.

Over the course of Learn Data Mining Through Excel, you will learn the data mining advantages the application offers when the data sets are not too large. You'll see how to use Excel's built-in features to create visual representations of your data, enabling you to present your findings in an accessible format. Author Hong Zhou walks you through each step, offering not only an active learning experience, but teaching you how the mining process works and how to find hidden patterns within the data.

Upon completing this book, you will have a thorough understanding of how to use an application you very likely already have to mine and analyze data, and how to present results in various formats.

You will:

Comprehend data mining using a visual step-by-step approach
Gain an introduction to the fundamentals of data mining
Implement data mining methods in Excel
Understand machine learning algorithms
Leverage Excel formulas and functions creatively
Obtain hands-on experience with data mining and Excel

About The Author

Hong Zhou, PhD is a professor of computer science and mathematics and has been teaching courses in computer science, data science, mathematics, and informatics at the University of Saint Joseph for nearly 20 years. His research interests include bioinformatics, data mining, software agents, and blockchain. Prior to his current position, he was as a Java developer in Silicon Valley. Dr. Zhou believes that learners can develop a better foundation of data mining models when they visually experience them step-by-step, which is what Excel offers. He has employed Excel in teaching data mining and finds it an effective approach for both data mining learners and educators.

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