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Can I read Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto on EtoBox?
Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto by Eric Carter, Matthew Hurst is a nonfiction available to read on EtoBox.
What is Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto about?
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 engineering team 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 always
Who reads Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Eric Carter, Matthew Hurst
- Publisher
- Apress : Imprint: Apress
- Published
- 2019
- Language
- EN
- ISBN
- 9781484251065
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Management
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