Implementing MLOps in the Enterprise

Implementing MLOps in the Enterprise
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 375
Release :
ISBN-10 : 9781098136543
ISBN-13 : 1098136543
Rating : 4/5 (543 Downloads)

Book Synopsis Implementing MLOps in the Enterprise by : Yaron Haviv

Download or read book Implementing MLOps in the Enterprise written by Yaron Haviv and published by "O'Reilly Media, Inc.". This book was released on 2023-11-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy


Implementing MLOps in the Enterprise Related Books

Implementing MLOps in the Enterprise
Language: en
Pages: 375
Authors: Yaron Haviv
Categories: Computers
Type: BOOK - Published: 2023-11-30 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical g
Introducing MLOps
Language: en
Pages: 171
Authors: Mark Treveil
Categories: Computers
Type: BOOK - Published: 2020-11-30 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barrie
Practical MLOps
Language: en
Pages: 461
Authors: Noah Gift
Categories: Computers
Type: BOOK - Published: 2021-09-14 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a
Testing in Python
Language: en
Pages: 177
Authors: Alfredo Deza
Categories:
Type: BOOK - Published: 2020-02-27 - Publisher:

DOWNLOAD EBOOK

Getting started with testing can be hard, and this book aims make it all very easy by using examples and explaining the process in a straightforward way. Testin
Responsible AI in the Enterprise
Language: en
Pages: 318
Authors: Adnan Masood
Categories: Computers
Type: BOOK - Published: 2023-07-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Purchase of the print or Kindle book includes