
Algorithms to Live By: The Computer Science of Human Decisions
by Brian Christian and Tom Griffiths (2016)
Like 'data science for business foster provost', this book applies computer science concepts to real-world problems.

by tom fawcett (2013)
Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.
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by Brian Christian and Tom Griffiths (2016)
Like 'data science for business foster provost', this book applies computer science concepts to real-world problems.

by Peter Bruce, Andrew Bruce, and Peter Gedeck (2017)
Similar to 'data science for business foster provost', it bridges statistical concepts with practical data science application.

by Lilian Pierson (2017)
Like 'data science for business foster provost', this book focuses on business cases and the value of data science.

by Cole Nussbaumer Knaflic (2015)
Echoing 'data science for business foster provost', this book emphasizes communicating data insights effectively to business audiences.

by Joel Grus (2015)
Similar to 'data science for business foster provost', it provides a solid understanding of data science principles, though with more technical depth.
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