logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Machine learning refined: foundations, algorithms, and applications by Borhani, Reza; Katsaggelos, Aggelos Konstantinos; Watt, Jeremy ISBN 9780848011871, 9780968011874, 9781108480727, 9781108690935, 9781710717617, 0848011872, 096801187X, 1108480721, 1108690939

  • SKU: EBN-12060242
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

0.0

0 reviews
Instant download (eBook) Machine learning refined: foundations, algorithms, and applications after payment.
Authors:Borhani, Reza; Katsaggelos, Aggelos Konstantinos; Watt, Jeremy
Year:2020
Editon:Second edition
Publisher:Cambridge University Press
Language:english
File Size:11.1 MB
Format:pdf
ISBNS:9780848011871, 9780968011874, 9781108480727, 9781108690935, 9781710717617, 0848011872, 096801187X, 1108480721, 1108690939
Categories: Ebooks

Product desciption

(Ebook) Machine learning refined: foundations, algorithms, and applications by Borhani, Reza; Katsaggelos, Aggelos Konstantinos; Watt, Jeremy ISBN 9780848011871, 9780968011874, 9781108480727, 9781108690935, 9781710717617, 0848011872, 096801187X, 1108480721, 1108690939

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products