{"product_id":"implementing-mlops-in-the-enterprise-a-production-first-approach-paperback","title":"Implementing MLOps in the Enterprise: A Production-First Approach - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eYaron Haviv\u003c\/b\u003e (Author), \u003cb\u003eNoah Gift\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith 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. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cp\u003e You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn the MLOps process, including its technological and business value \u003c\/li\u003e\n\u003cli\u003eBuild and structure effective MLOps pipelines \u003c\/li\u003e\n\u003cli\u003eEfficiently scale MLOps across your organization \u003c\/li\u003e\n\u003cli\u003eExplore common MLOps use cases \u003c\/li\u003e\n\u003cli\u003eBuild MLOps pipelines for hybrid deployments, real-time predictions, and composite AI \u003c\/li\u003e\n\u003cli\u003eBuild production applications with LLMs and Generative AI, while reducing risks, increasing the efficiency, and fine tuning models \u003c\/li\u003e\n\u003cli\u003eLearn how to prepare for and adapt to the future of MLOps \u003c\/li\u003e\n\u003cli\u003eEffectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy \u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 377\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.78 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 09, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52494092468531,"sku":"9781098136581","price":86.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/gMYYZlEePj9781098136581.webp?v=1759971244","url":"https:\/\/www.vysn.com\/en-ca\/products\/implementing-mlops-in-the-enterprise-a-production-first-approach-paperback","provider":"VYSN","version":"1.0","type":"link"}