Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

S. MauriceTransactional Machine Learning with Data Streams and AutoMLhttps://doi.org/10.1007/978-1-4842-7023-3_6

6. Transactional Machine Learning Solution Template with Streaming Visualization

Sebastian Maurice¹  

(1)

Toronto, ON, Canada

 

This chapter will discuss in detail the technologies needed to build TML solutions with example code for

• Predicting and optimizing foot traffic in 11,000 Walmart locations

• Predicting anomalies in 50 bank accounts with 10,000 bank transactions

The intent of this chapter is to give you a hands-on walk-through of how to build your own TML solutions integrated with Apache Kafka with data streams and AutoML, using Confluent Cloud ...