Colleen M. Farrelly,Yae Ulrich Gaba
The Shape Of Data: Geometry-Based Machine Learning and Data Analysis in R
The Shape Of Data: Geometry-Based Machine Learning and Data Analysis in R
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- More about The Shape Of Data: Geometry-Based Machine Learning and Data Analysis in R
The Shape of Data is a book that uses geometry- and topology-based algorithms for machine learning, with coding examples using social network data, text data, medical data, and education data. It provides readers with an understanding of some of the most exciting algorithms being used in the field and an entirely new toolkit to use in their own machine-learning work.
Format: Paperback / softback
Length: 272 pages
Publication date: 12 September 2023
Publisher: No Starch Press,US
The Shape of Data is a comprehensive guide that delves into the realm of machine learning, employing geometry- and topology-based algorithms to unlock its potential. Rather than focusing on intricate mathematical theories, this book emphasizes practical applications, making it accessible to a wide range of readers. It progresses through a series of coding examples, utilizing social network data, text data, medical data, and education data, to illustrate the practical implications of these algorithms. By the end of the book, readers will not only possess a powerful toolkit for their own machine-learning endeavors but also gain a deep understanding of some of the most cutting-edge algorithms currently in use in the field. Whether you are a data scientist, engineer, or simply interested in the latest advancements in technology, The Shape of Data is an essential resource that will empower you to leverage the power of data and drive innovation.
The Shape of Data is a comprehensive guide that delves into the realm of machine learning, employing geometry- and topology-based algorithms to unlock its potential.
Rather than focusing on intricate mathematical theories, this book emphasizes practical applications, making it accessible to a wide range of readers.
It progresses through a series of coding examples, utilizing social network data, text data, medical data, and education data, to illustrate the practical implications of these algorithms.
By the end of the book, readers will not only possess a powerful toolkit for their own machine-learning endeavors but also gain a deep understanding of some of the most cutting-edge algorithms currently in use in the field.
Whether you are a data scientist, engineer, or simply interested in the latest advancements in technology, The Shape of Data is an essential resource that will empower you to leverage the power of data and drive innovation.
Weight: 510g
Dimension: 179 x 234 x 18 (mm)
ISBN-13: 9781718503083
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