机读格式显示(MARC)
- 000 02245cam a2200397 i 4500
- 008 230213s2023 nyua b 001 0 eng
- 015 __ |a GBC378855 |2 bnb
- 016 7_ |a 021031789 |2 Uk
- 020 __ |a 9781032362434 |q (hardback)
- 020 __ |a 103236243X |q (hardback)
- 020 __ |a 9781032362427 |q (paperback)
- 020 __ |a 1032362421 |q (paperback)
- 020 __ |z 9781003330929 |q (ebook)
- 020 __ |z 9781000886047 |q (ePub ebook)
- 020 __ |z 9781000886009 |q (PDF ebook)
- 040 __ |a DLC |b eng |e rda |c DLC |d OCLCF |d UKMGB |d OCLCQ |d OCLCO
- 050 00 |a HD45 |b .G384 2023
- 082 00 |a 658 |2 23/eng/20230213
- 100 1_ |a Geertsema, Paul, |e author.
- 245 10 |a Machine learning for managers / |c Paul Geertsema.
- 260 __ |a New York : |b Routledge, |c 2023.
- 300 __ |a xx, 159 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However, many of the ideas that underpin machine learning are straight-forward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about, but who lack a technical background in computer science, statistics or math. The book describes in plain language what machine learning is and how it works. In addition, it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations"-- |c Provided by publisher.
- 650 _0 |a Industrial management |x Technological innovations.
- 650 _0 |a Machine learning.
- 650 _0 |a Organizational effectiveness.