Ravi Krishna joins us today to talk about his recent work on a differentiable NAS framework for ads CTR prediction. He discussed what CTR prediction is about and why his NAS framework helps in building neural networks for better ads recommendation. Listen to learn about methodology, related literature and his results. <a href= "https://dataskeptic.com/blog/episodes/2022/neural-architecture-search-for-ctr-prediction" target="_blank" rel="noopener">Click for additional show notes</a> Thanks to our sponsor: <a href="https://astrato.io/dataskeptic">https://astrato.io</a> Astrato is a modern BI and analytics platform built for the Snowflake Data Cloud. A next-generation live query data visualization and analytics solution, empowering everyone to make live data decisions.

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.