{"product_id":"practical-mlops-operationalizing-machine-learning-models-paperback-9789355420374","title":"Practical MLOps (Paperback)","description":"\u003cp style=\"margin: 0px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eGetting 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 reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eCurrent and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cstrong\u003eYou'll discover how to:\u003c\/strong\u003e\u003c\/p\u003e\u003cul style=\"margin-top: 0px; margin-right: 0px; margin-left: 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\" margin-bottom:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eApply DevOps best practices to machine learning\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eBuild production machine learning systems and maintain them\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eMonitor, instrument, load-test, and operationalize machine learning systems\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eChoose the correct MLOps tools for a given machine learning task\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eRun machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e \u003c\/h3\u003e\u003ch3 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e  About the Author\u003c\/h3\u003e\u003cdiv class=\"a-section a-spacing-small a-padding-small\" style=\"box-sizing: border-box; margin-bottom: 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\" padding:=\"\"\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cstrong\u003eNoah Gift\u003c\/strong\u003e is the founder of Pragmatic A.I. Labs. He lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program, UNC Charlotte Data Science Initiative, and University of Tennessee (as part of the Tennessee Digital Jobs Factory). He teaches and designs graduate machine learning, MLOps, AI, and data science courses, and consulting on machine learning and cloud architecture for students and faculty. As a former CTO, individual contributor, and consultant he has over 20 years' experience shipping revenue-generating products in many industries including film, games, and SaaS.\u003c\/p\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px;\"\u003e\u003cstrong\u003eAlfredo Deza \u003c\/strong\u003eis a passionate software engineer, speaker, author, and former Olympic athlete with almost two decades of DevOps and software engineering experience. He currently teaches Machine Learning Engineering and gives worldwide lectures about software development, personal development, and professional sports. Alfredo has written several books about DevOps and Python, and continues to share his knowledge about resilient infrastructure, testing, and robust development practices in courses, books, and presentations.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50506219257926,"sku":"9789355420374","price":1597.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789355420374_9138-eh.jpg?v=1790323567","url":"https:\/\/cb-india.com\/products\/practical-mlops-operationalizing-machine-learning-models-paperback-9789355420374","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}