Machine Learning for Business: Using Amazon Sagemaker and Jupyter Contributor(s): Hudgeon, Doug (Author), Nichol, Richard (Author) |
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ISBN: 1617295833 ISBN-13: 9781617295836 Publisher: Manning Publications OUR PRICE: $37.99 Product Type: Paperback Published: January 2020 |
Additional Information |
BISAC Categories: - Computers | Neural Networks - Computers | Enterprise Applications - Business Intelligence Tools - Business & Economics | Business Mathematics |
Dewey: 006.31 |
LCCN: 2020455630 |
Physical Information: 0.5" H x 7.4" W x 9.2" (1.00 lbs) 280 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Summary
Machine learning can deliver these and other advantages to your business, and it's never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you'll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you'll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside
About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ] How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ] Should you send a purchase order to a technical approver? 3 ] Should you call a customer because they are at risk of churning? 4 ] Should an incident be escalated to your support team? 5 ] Should you question an invoice sent by a supplier? 6 ] Forecasting your company's monthly power usage 7 ] Improving your company's monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ] Serving predictions over the web 9 ] Case studies |
Contributor Bio(s): Hudgeon, Doug: - Doug Hudgeon runs a business automation consultancy, putting his considerable experience helping companies set up automation and machine learning teams to good use. In 2000, Doug launched one of Australia's first electronic invoicing automation companies. Nichol, Richard: -Richard Nichol has over 20 years of experience as a data scientist and software engineer. He currently specializes in maximizing the value of data through AI and machine learning techniques. |