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1. 
Cover image for An introduction to data science with Python
by 
Saltz, Jeffrey S., author.
Format: 
Books
Publication Date 
2025
Excerpt: 
will still find the concepts and code intelligible. Explanations are reinforced with linked practice
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2. 
Cover image for Introduction to machine learning with Python : a guide for data scientists
by 
Müller, Andreas C., author.
Format: 
Books
Publication Date 
2017 2016
Excerpt: 
, even as a beginner, this book will teach you practical ways to build your own machine learning
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3. 
Cover image for Data smart : using data science to transform information into insight
by 
Foreman, John W., author.
Format: 
Books
Publication Date 
2014
Excerpt: 
, author and data scientist John Foreman will show you how that's done within the familiar environment of a
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4. 
Cover image for Big data @ work : dispelling the myths, uncovering the opportunities
by 
Davenport, Thomas H., 1954-
Format: 
Books
Publication Date 
2014
Excerpt: 
Why Big Data is important to you and your organization -- How Big Data will change your job, your
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by 
Wang, John, 1955-
Format: 
Books
Publication Date 
2008
Excerpt: 
authoritative collection will provide libraries with the essential reference on data mining and warehousing
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6. 
Cover image for Data mining : building competitive advantage
by 
Groth, Robert.
Format: 
Books
Publication Date 
2000
Excerpt: 
, Robert Groth will help you master data mining - and deliver all the competitive advantage it promises
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7. 
Cover image for Data mining solutions : methods and tools for solving real-world problems
by 
Westphal, Christopher R. (Christopher Ralph), 1965-
Format: 
Books
Publication Date 
1998
Excerpt: 
successful. You'll get a refreshing "out-of-the box" approach to data mining that will help you maximize your
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8. 
Cover image for Solving data mining problems through pattern recognition
by 
Kennedy, Ruby L.
Format: 
Books
Publication Date 
1998
Excerpt: 
models and insights into real-world problem-solving that will inspire more experienced users, be they
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9. 
Cover image for Data mining techniques : for marketing, sales, and customer support
by 
Berry, Michael J. A.
Format: 
Books
Publication Date 
1997
Excerpt: 
formulating marketing, sales, and customer support strategies. While database analysts will find more than
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