36选7开奖结果:The Morning Paper Issue 7 - Experimentation, Optimisation and Learning
I’m sure you’ve come across the term “Cloud Native” to describe an approach to IT which assumes and embraces the characteristics of cloud platforms. While cloud-native has been stealing all the attention recently, there’s another shift that’s just as important: the move towards becoming a “Data Native” organisation.
For this edition of The Morning Paper Quarterly Review I’ve chosen a set of papers that illustrate what the data natives are up to: how they embed experimentation, optimisation, and learning into everything they do. If you thought continual delivery was the end game, for data natives this is just the necessary pre-requisite.
You’ll learn some of the hard-won lessons from running thousands of experiments a year across Bing, MSN, Skype, Office, and Xbox, as well as from firms like Amazon, LinkedIn, Booking.com and Microsoft. If you are involved in product design, particularly on web-based applications, there is a tremendous amount of value in this issue.
The Morning Paper Issue 7 - Experimentation, Optimisation and Learning include:
- A dirty dozen: twelve common metric interpretation pitfalls in online controlled experiments
- Seven rules of thumb for website experimenters
- The evolution of continuous experimentation in software product development
- Google Vizier: A service for black-box optimization
- TFX: A TensorFlow-based production scale machine learning platform
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