Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies, Third Edition
Программирование / Книги для мобильных устройств
Основная информация:
Название: Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies, Third Edition
Жанр: Нет
Автор: Steven Finlay
Год выпуска: 2018
Формат: EPUB, MOBI, RTF, PDF
Размер: 10.18 MB
ISBN: 974631398497
Язык: Английский
СКАЧАТЬ Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies, Third Edition БЕСПЛАТНО EPUB - DOC - DJVU - RTF - PDFОписание: 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. 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 hype and 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.
This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.
Contents:
Acknowledgements
Foreword
1. Introduction
2. What are Machine Learning and Artificial Intelligence (AI)?
3. What Do the Scores Generated by a Predictive Model Represent?
4. Why Use Machine Learning? What Value Does it Add?
5. How Does Machine Learning Work?
6. Using a Predictive Model to Make Decisions
7. That’s Scorecards, but What About Decision Trees?
8. Neural Networks and Deep Learning
9. Unsupervised and Reinforcement Learning
10. How to Build a Predictive Model
11. Operationalizing Machine Learning
12. The Relationship Between Big Data and Machine Learning
13. Ethics, Law and the GDPR
14. The Cutting Edge of Machine Learning
15. When Can I Buy a Self-Driving Car?
16. Concluding Remarks
Appendix A. Evaluating Predictive Models
Appendix B. Further Information and Recommended Reading
Appendix C. Popular Terms in Machine Learning and AI
Appendix D. A Checklist for Business Success
About the Author
Notes