{"product_id":"machine-learning-design-patterns-solutions-to-common-challenges-in-data-preparation-model-building-and-mlops-paperback","title":"Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and Mlops - 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\u003eValliappa Lakshmanan\u003c\/b\u003e (Author), \u003cb\u003eSara Robinson\u003c\/b\u003e (Author), \u003cb\u003eMichael Munn\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. \u003c\/p\u003e\u003cp\u003e In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. \u003c\/p\u003e\u003cp\u003e You'll learn how to: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eIdentify and mitigate common challenges when training, evaluating, and deploying ML models \u003c\/li\u003e\n\u003cli\u003eRepresent data for different ML model types, including embeddings, feature crosses, and more \u003c\/li\u003e\n\u003cli\u003eChoose the right model type for specific problems \u003c\/li\u003e\n\u003cli\u003eBuild a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning \u003c\/li\u003e\n\u003cli\u003eDeploy scalable ML systems that you can retrain and update to reflect new data \u003c\/li\u003e\n\u003cli\u003eInterpret model predictions for stakeholders and ensure models are treating users fairly \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eValliappa (Lak) Lakshmanan is Global Head for Data Analytics and AI Solutions on Google Cloud. His team builds software solutions for business problems using Google Cloud's data analytics and machine learning products. He founded Google's Advanced Solutions Lab ML Immersion program. Before Google, Lak was a Director of Data Science at Climate Corporation and a Research Scientist at NOAA.\u003c\/p\u003e\u003cp\u003eSara Robinson is a Developer Advocate on Google's Cloud Platform team, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Sara has a bachelor's degree from Brandeis University. Before Google, she was a Developer Advocate on the Firebase team.\u003c\/p\u003e\u003cp\u003eMichael Munn is an ML Solutions Engineer at Google where he works with customers of Google Cloud on helping them design, implement, and deploy machine learning models. He also teaches an ML Immersion Program at the Advanced Solutions Lab. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 405\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 x 6.85 x 9.06 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 24, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44840795930726,"sku":"9781098115784","price":75.63,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/MFBaVTFsT0c3YS9PZ1o1QzhDb2tFQT09.webp?v=1772549360","url":"https:\/\/infinitylightwa.com\/products\/machine-learning-design-patterns-solutions-to-common-challenges-in-data-preparation-model-building-and-mlops-paperback","provider":"Infinity Light","version":"1.0","type":"link"}