Download the fantastic book titled Implementing MLOps in the Enterprise written by Yaron Haviv, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Implementing MLOps in the Enterprise", which was released on 30 November 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Implementing MLOps in the Enterprise by Yaron Haviv PDF
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
Detail About Implementing MLOps in the Enterprise PDF
- Author : Yaron Haviv
- Publisher : "O'Reilly Media, Inc."
- Genre : Computers
- Total Pages : 380 pages
- ISBN : 1098136551
- Release Date : 30 November 2023
- PDF File Size : 54,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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