Building Machine Learning Systems with a Feature Store (Early Release) 9781098165239, 9781098165178

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and

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English Pages 39 Year 2024

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Building Machine Learning Systems with a Feature Store (Early Release)
9781098165239, 9781098165178

Author / Uploaded
Jim Dowling

Categories
Computers
Algorithms and Data Structures: Pattern Recognition

Table of contents :
Brief Table of Contents (Not Yet Final)
Preface
Overview of this book’s mission
Target Reader of this Book
Introduction
From ML Models to MLOps to ML Systems
Supervised learning primer and what is a feature anyway?
1. Building Machine Learning Systems
The Evolution of Machine Learning Systems
The Anatomy of a Machine Learning System
Types of Machine Learning
Data Sources
Tabular data
Unstructured Data
Event Data
API-Provided Data
Ethics and Laws for Data Sources
Incremental Datasets
What is a ML Pipeline ?
Principles of MLOps
Machine Learning Systems with a Feature Store
Three Types of ML System with a Feature Store
ML Frameworks and ML Infrastructure used in this book
Summary

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