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_2

2. Transactional Machine Learning

Sebastian Maurice¹  

(1)

Toronto, ON, Canada

 

Transactional machine learning (TML) is an exciting area of machine learning that is specifically focused on applying auto machine learning (AutoML) to data streams to create machine learning solutions that are frictionless and elastic. This chapter will define TML and the related technologies that are important to build TML solutions. It also discusses the (big) data platform that will store and process the data streams for analysis and machine learning. Applying machine ...