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Data News — Week 24.12

Christophe Blefari

Friday routine ( credits ) It's Friday and it's Data News. I don't go into too much detail about the magic of Data News, but every Friday is the same. Exploration, Friday morning I read the last 7 days of 2 Twitter lists ( MDS , Data voices ) and I open interesting stuff in tabs. on April 10.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. If ML algorithms consume more amounts of data while solving a problem, it results in better performance.

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How To Clear CEH in First Attempt?

Knowledge Hut

Organizations may face major losses not just in their profits but also loss of reputation, data, and customers. Therefore, almost all organizations want to keep their data and privacy of their customers safe from cyber criminals. Study groups - Community Study groups will polish your knowledge and skills for CEH topics.

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Using the T-Test for Effective Testing of Nondeterministic AI Systems by Ollie Southwell

Scott Logic

Until now, you’ve probably expected all your tests to pass, but what happens when you test systems with inherent inbuilt randomness? AI is nondeterministic, which doesn’t cleanly fit within our current testing paradigms. What is the t-test? We’ll start with the very basics of testing: what is a hypothesis test?

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All of Netflix’s HDR video streaming is now dynamically optimized

Netflix Tech

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes.

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Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

DoorDash Engineering

SRM represents one of the most egregious data quality issues in A/B tests because it fundamentally compromises the basic assumption of random assignment. For example, if two reasonably sized groups are expected to be split 50/50, but instead show a 55/45 split, the assignment process likely is compromised.

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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Detect patterns and indicators of potential fraudulent activities using transaction data, customer profiles, and other relevant information.