Skip to Content
Machine Learning for Business
book

Machine Learning for Business

by Doug Hudgeon, Richard Nichol
January 2020
Intermediate to advanced content levelIntermediate to advanced
280 pages
9h 22m
English
Manning Publications
Content preview from Machine Learning for Business

Part 2. Six scenarios: Machine learning for business

Each chapter in this part covers the use of machine learning to enhance the productivity of a single operational area. The areas covered are

  • Approving purchase orders
  • Evaluating which customers are at risk of churning
  • Identifying support requests that should be escalated immediately
  • Auditing invoices from suppliers
  • Forecasting operational trends, such as power consumption, using time-series data
  • Incorporating additional features into time-series forecasting

In each chapter, you download a Jupyter notebook and a dataset and upload it to your AWS SageMaker account. You can then run the notebook to create and test the model. The text in the chapter takes you through the notebook in detail ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Introducing Machine Learning

Introducing Machine Learning

Dino Esposito, Francesco Esposito
Machine Learning for Finance

Machine Learning for Finance

James Le, Jannes Klaas
Machine Learning and Data Science Blueprints for Finance

Machine Learning and Data Science Blueprints for Finance

Hariom Tatsat, Sahil Puri, Brad Lookabaugh

Publisher Resources

ISBN: 9781617295836Publisher SupportOtherPublisher WebsiteSupplemental ContentPurchase Link