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As part of our core values of sharing knowledge, the InfoQ editors were keen to capture and share our book and article recommendations for 2018, so that others can benefit from this too. In this second part we are sharing the final batch of recommendations
The authors discuss how to migrate apps to the cloud using funnels and buckets, and then scale them and test for resilience.
Leonardo Trujillo overviews how GP can be used to solve ML tasks intended as a starting point for applied researchers and developers.
Mik Kersten has published a book, Project to Product, in which he describes a framework for delivering products in the age of software. Drawing on research and experience with many organisations across a wide range of industries, he presents the Flow Framework™ as a way for organisations to adapt their product delivery to the speed of the market.
The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services.
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