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Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field.



September 23, 2022

Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

Sometimes applications crash. Some other times applications crash because memory is exhausted. Such issues exist because of bugs in the code, or heavy memory usage for […]
September 14, 2022

Is studying AI in academia a waste of time? (Ep. 202)

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence.
September 7, 2022

Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

Neural networks are becoming massive monsters that are hard to train (without the “regular” 12 last-generation GPUs).Is there a way to skip that? Let me introduce […]

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Data Science at Home is among the top Data Science podcast, and many industry leaders have sponsored its initiative. This podcast provides the latest and most relevant findings in machine learning and artificial intelligence, interviewing researchers and influential scientists in the field.