Machine Learning for Streaming Data with Python

Table of Contents

Preface

Part 1: Introduction and Core Concepts of Streaming Data

Chapter 1: An Introduction to Streaming Data

Technical requirements

Setting up a Python environment

A short history of data science

Working with streaming data

Streaming data versus batch data

Advantages of streaming data

Examples of successful implementation of streaming analytics

Challenges of streaming data

How to get started with streaming data

Common use cases for streaming data

Streaming versus big data

Real-time data formats and importing an example dataset in Python

Summary

Further reading

Chapter 2: Architectures for Streaming and Real-Time Machine Learning

Technical requirements

Python environment

Defining your analytics as a function

Understanding microservices ...