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Více informací o knize Introduction To Machine Learning

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• Anotace
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Anotace knihy

Machine learning - a computer''s ability to learn - is transforming our world: it is used to understand images, process text, make predictions by analysing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters - applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Datenkommunikation, Netzwerke

• Plný název: Introduction To Machine Learning
• Autor: Etienne Bernard
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 424
• EAN: 9781579550486
• ISBN: 1579550487
• ID: 38436786
• Nakladatelství: Wolfram Media Inc
• Hmotnost: 796 g
• Rozměry: 179 × 254 × 28 mm
• Datum vydání: 20. December 2021

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