Machine Learning for Business

Machine Learning for Business: Using Amazon SageMaker and Jupyter

eBook Details:

  • Paperback: 300 pages
  • Publisher: WOW! eBook; 1st edition (February 4, 2020)
  • Language: English
  • ISBN-10: 1617295833
  • ISBN-13: 978-1617295836

eBook Description:

Machine Learning for Business: Using Amazon SageMaker and Jupyter

  • 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!

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.

What’s inside

  • Identifying tasks suited to machine learning
  • Automating back office processes
  • Using open source and cloud-based tools
  • Relevant case studies

This book 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.

DOWNLOAD

You may also like...

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.