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Agile machine learning : effective machine learning inspired by the agile manifesto

Author: Eric Carter; Matthew Hurst
Publisher: Berkeley, CA : Apress, [2019]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Carter, Eric
Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto
Berkeley, CA : Apress L. P.,c2019
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Eric Carter; Matthew Hurst
ISBN: 9781484251072 1484251075
OCLC Number: 1114976385
Notes: Includes and index.
Description based upon print version of record.
Description: 1 online resource (257 p.)
Contents: Chapter 1: Early DeliveryChapter 2: Changing RequirementsChapter 3: Continuous DeliveryChapter 4: Aligning with the BusinessChapter 5: Motivated IndividualsChapter 6: Effective CommunicationChapter 7: MonitoringChapter 8: Sustainable Development Chapter 9: Technical ExcellenceChapter 10: Simplicity Chapter 11: Self-organizing TeamsChapter 12: Tuning and Adjusting Chapter 13: Conclusion
Responsibility: Eric Carter, Matthew Hurst.

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Intermediate user level  Read more...

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