Agile Machine Learning Effective Machine Learning Inspired by the Agile Manifesto

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 e...

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Detalles Bibliográficos
Autores principales:	Carter, Eric. author (author), Hurst, Matthew. author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2019.
Edición:	1st ed. 2019.
Materias:	Microsoft software. Microsoft .NET Framework. Software engineering. Big data. Microsoft and .NET. Software Engineering. Big Data.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630927706719

Tabla de Contenidos:

Chapter 1: Early Delivery
Chapter 2: Changing Requirements
Chapter 3: Continuous Delivery
Chapter 4: Aligning with the Business
Chapter 5: Motivated Individuals
Chapter 6: Effective Communication
Chapter 7: Monitoring
Chapter 8: Sustainable Development
Chapter 9: Technical Excellence
Chapter 10 Simplicity
Chapter 11: Self-organizing Teams
Chapter 12: Tuning and Adjusting
Chapter 13: Conclusion.

Agile Machine Learning Effective Machine Learning Inspired by the Agile Manifesto

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