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Titlebook: Agile Machine Learning; Effective Machine Le Eric Carter,Matthew Hurst Book 2019 Eric Carter, Matthew Hurst 2019 Agile Software Development

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发表于 2025-3-21 18:02:55 | 显示全部楼层 |阅读模式
期刊全称Agile Machine Learning
期刊简称Effective Machine Le
影响因子2023Eric Carter,Matthew Hurst
视频videohttp://file.papertrans.cn/152/151339/151339.mp4
发行地址Authors have proven real-world experience with numerous big data projects coordinated across distributed teams for multiple Microsoft markets.Teaches you how to manage projects involving machine learn
图书封面Titlebook: Agile Machine Learning; Effective Machine Le Eric Carter,Matthew Hurst Book 2019 Eric Carter, Matthew Hurst 2019 Agile Software Development
影响因子.Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto...Bringing 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. .Agile Machine Learning .teaches 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...The 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.. What You‘ll Learn..Effectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focused.Make sound implementation and model exploration decisions based on the data and the metrics.Know the importance of data wallowing: analyzing data in real time in a group setting.Recognize the value of alwa
Pindex Book 2019
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Robust State Estimation of Complex Systemsrns of data will inevitably be outsmarted by future attacks causing the system to become less effective. Ideas about what to do to solve a data problem change as the data is explored and analyzed. Customers can be fickle and change their mind about what they want and what features are most important
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https://doi.org/10.1007/978-3-319-56505-7opean markets attracting 19.6 million unique visitors per month in Europe by 2008. Microsoft purchased Ciao in 2008 to bolster its Bing search engine in Europe. Eric had the opportunity to work with the Ciao team as its new engineering manager after the Microsoft acquisition. What Eric observed was
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