0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

Dimensionality Reduction in Data Science (Hardcover, 1st ed. 2022) Loot Price: R1,855
Discovery Miles 18 550
Dimensionality Reduction in Data Science (Hardcover, 1st ed. 2022): Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar,...

Dimensionality Reduction in Data Science (Hardcover, 1st ed. 2022)

Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng

 (sign in to rate)
Loot Price R1,855 Discovery Miles 18 550 | Repayment Terms: R174 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated. The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains. This book focuses on data science and problem definition, data cleansing, feature selection and extraction, statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting. This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: July 2022
First published: 2022
Editors: Max Garzon • Ching-Chi Yang • Deepak Venugopal • Nirman Kumar • Kalidas Jana • Lih-Yuan Deng
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 265
Edition: 1st ed. 2022
ISBN-13: 978-3-03-105370-2
Categories: Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-03-105370-2
Barcode: 9783031053702

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners