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What is an A/B Test?

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. An A/B test is a simple controlled experiment. Figure 2: A simple A/B test. Let’s say?—?this

Testing 245
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What is chaos engineering?

Dynatrace

Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

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Ciao Milano! – An AWS Region is coming to Italy!

All Things Distributed

We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy. By moving to AWS, Lamborghini was able to prepare the development and test environment in a couple of days.

AWS 167
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How Application of Artificial Intelligence is Transforming Business

Testsigma

Deep learning: employs artificial neural networks that keep learning constantly by processing both negative and positive data. Artificial neural networks are made to mimic the human brain. The machine uses multiple artificial neural network layers to determine and output from many inputs provided.

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Tasktop’s Bookshelf

Tasktop

In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. The Phoenix Project. Author: Gene Kim. For more information, visit: [link].

DevOps 40
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Supporting content decision makers with machine learning

The Netflix TechBlog

To mitigate this uncertainty, executives throughout the entertainment industry have always consulted historical data to help characterize the potential audience of a title using comparable titles, if they exist. These considerations are key in informing subsequent lines of research and innovation.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. What more can we learn from this test, to inform the next one?” Curious to learn more?