Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Steven Finlay

ISBN 10: 1999730305 / ISBN 13: 9781999730307

Edité par Relativistic 28/05/2017, 2017

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Synopsis :

Please note that the fourth edition of this book is now available. Consequently, this older edition is no longer on sale.

Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people.

The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.

Steven Finlay is a data scientist with more than 20 years' experience of developing practical machine learning-based solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK. He is currently Head of Analytics for Computershare Loan Services (CLS) in the UK. Dr Finlay has published a number of practically focused books about machine learning, artificial intelligence and financial services.

Présentation de l'éditeur: Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals.

Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people.

The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.

Détails bibliographiques

Titre : Artificial Intelligence and Machine Learning...
Éditeur : Relativistic 28/05/2017
Date d'édition : 2017
Reliure : Paperback
Etat : Very Good
Edition : 2ème Édition