The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematica...

The 18th edition of Daniel Jones's classic work is the definitive guide to contemporary English pronunciation. This new and fully updated edition contains over 230,000 pronunciations of words, names and phrases. In addition, it includes lively essays on aspects of pronunciation by leading experts in the field, a phonetics and phonology glossary and notes explaining the relationship between spellings and sounds

An indispensable guide enabling business and management students to develop their professional competences in real organizational settings, this new and fully updated edition of Problem Solving in Organizations equips the reader with the necessary toolkit to apply the theory to practical business problems. By encouraging the reader to use the theory and showing them how to do so in a fuzzy, ambiguous and politically charged, real-life organizational context, this book offers a concise introdu...

Now in its second edition, A Textbook of Cultural Economics is an established resource for many courses, including economics of the arts, the cultural and media industries, and the digital creative economy. Authored by Ruth Towse, a widely recognised expert in cultural economics, the book offers a comprehensive, up-to-date overview and analysis of the field in the digital era. Written in an accessible style, and with suggestions for further reading, it covers a range of topics, from the more ...