| 期刊全稱 | Agile Machine Learning | | 期刊簡稱 | Effective Machine Le | | 影響因子2023 | Eric Carter,Matthew Hurst | | 視頻video | http://file.papertrans.cn/152/151339/151339.mp4 | | 發(fā)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 | | 圖書封面 |  | | 影響因子 | .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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