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Machine Learning for Business (Using Amazon SageMaker and Jupyter)
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Product Details
Author:
Doug Hudgeon, Richard Nichol
Format:
Paperback
Pages:
280
Publisher:
Manning (January 14, 2020)
Language:
English
ISBN-13:
9781617295836
ISBN-10:
1617295833
Weight:
16.56oz
Dimensions:
7.38" x 9.25" x 0.5"
File:
Eloquence-SimonSchuster_08192026_P10502905_onix30-20260819.xml
Folder:
Eloquence
List Price:
$39.99
Case Pack:
28
As low as:
$35.99
Publisher Identifier:
P-SS
Discount Code:
G
Pub Discount:
37
Imprint:
Manning
Overview
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
- Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen
- Think about the benefits of forecasting tedious business processes and back-office tasks
- Envision quickly gauging customer sentiment from social media content (even large volumes of it).
- Consider the competitive advantage of making decisions when you know the most likely future events
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
- Identifying tasks suited to machine learning
- Automating back office processes
- Using open source and cloud-based tools
- Relevant case studies
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
