Description
Product ID: | 9781032362434 |
Product Form: | Hardback |
Country of Manufacture: | GB |
Title: | Machine Learning for Managers |
Authors: | Author: Paul Geertsema |
Page Count: | 160 |
Subjects: | Economics, Economics, Business and Management, E-commerce: business aspects, Production and quality control management, Automatic control engineering, Environmental science, engineering and technology, Artificial intelligence, Machine learning, Business & management, E-commerce: business aspects, Production & quality control management, Automatic control engineering, Environmental science, engineering & technology, Artificial intelligence, Machine learning |
Description: | This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works, what it can do and how it can be used to create value in the context of wider organisation. It will appeal to managers who want to learn more about machine learning applications in business. 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 straightforward 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. |
Imprint Name: | Routledge |
Publisher Name: | Taylor & Francis Ltd |
Country of Publication: | GB |
Publishing Date: | 2023-06-19 |