{"product_id":"9781484251065","title":"Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto","description":"\u003ch1\u003eAgile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto\u003c\/h1\u003e \u003ch2\u003eCarter, Eric; Hurst, Matthew\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuild resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto.\u003c\/p\u003e\n\n\u003cp\u003eBringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. \u003cb\u003e\u003ci\u003eAgile Machine Learning \u003c\/i\u003e\u003c\/b\u003eteaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment.\u003c\/p\u003e\n\n\u003cp\u003eThe authors’ approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e What You'll Learn\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focused\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMake sound implementation and model exploration decisions based on the data and the metrics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eKnow the importance of data wallowing: analyzing data in real time in a group setting\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRecognize the value of always being able to measure your current state objectively\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectations\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\n\n\n\n\n\n\n\n\n\n\n\n\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAnyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2019-08-22\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484251065\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-5107-2\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 248\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47527108477068,"sku":"9781484251065","price":71.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484251065.jpg?v=1776038956","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781484251065","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}