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Machine Learning Refined

- Foundations, Algorithms, and Applications

Machine Learning Refined

- Foundations, Algorithms, and Applications
Tjek vores konkurrenters priser
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Tjek vores konkurrenters priser
Normalpris
kr 602
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Produktdetaljer
Sprog: Engelsk
Sider: 594
ISBN-13: 9781108480727
Indbinding: Hardback
Udgave:
ISBN-10: 1108480721
Kategori: Machine learning
Udg. Dato: 9 jan 2020
Længde: 30mm
Bredde: 177mm
Højde: 246mm
Forlag: Cambridge University Press
Oplagsdato: 9 jan 2020
Forfatter(e) Jeremy Watt, Aggelos K. Katsaggelos, Reza Borhani


Kategori Machine learning


ISBN-13 9781108480727


Sprog Engelsk


Indbinding Hardback


Sider 594


Udgave


Længde 30mm


Bredde 177mm


Højde 246mm


Udg. Dato 9 jan 2020


Oplagsdato 9 jan 2020


Forlag Cambridge University Press

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