Hui Jiang (Toronto York University)

Broschiertes Buch

Machine Learning Fundamentals

Beschreibung

This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.

Autor

Hui Jiang is Professor of Electrical Engineering and Computer Science at York University, where he has been since 2002. His main research interests include machine learning, particularly deep learning, and its applications to speech and audio processing, natural language processing, and computer vision. Over the past 30 years, he has worked on a wide range of research problems from these areas and published hundreds of technical articles and papers in the mainstream journals and top-tier conferences. His works have won the prestigious IEEE Best Paper Award and the ACL Outstanding Paper honor.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 422
• Erscheinungstermin: 25. November 2021
• Englisch
• Abmessung: 254mm x 203mm x 23mm
• Gewicht: 900g
• ISBN-13: 9781108940023
• ISBN-10: 1108940021
• Artikelnr.: 62110751