Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen
Think about the benefits of automating tedious business processes and back-office tasks
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 for Business teaches you how to make your company more automated, productive, and competitive by mastering practical, implementable machine learning techniques and tools. Thanks to the authors’ down-to-earth style, you’ll easily grok why process automation is so important and why machine learning is key to its success. In this hands-on guide, you’ll work through seven end-to-end automation scenarios covering business processes in accounts payable, billing, payroll, customer support, and other common tasks. Using Amazon SageMaker (no installation required!), you’ll build and deploy machine learning applications as you practice takeaway skills you’ll use over and over. By the time you’re finished, you’ll confidently identify machine learning opportunities in your company and implement automated applications that can sharpen your competitive edge!
Key Features
Identifying processes suited to machine learning
Using machine learning to automate back office processes
Seven everyday business process projects
Using open source and cloud-based tools
Case studies for machine learning decision making
For technically-inclined business professionals or business developers. No previous experience with automation tools or programming is necessary.
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.
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.
