For a software engineer, the hardest thing about developing Machine Learning functionality should be finding clean and representative ground-truth data, but it often isn’t. If you already have a source of good quality data (perhaps because it is already g... (more…)
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Machine learning operationalization has come to be seen as the industrial holy grail of practical machine learning. And that isn’t a bad thing – for data to eventually be useful to orga… (more…)
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VentureBeat spoke with Dean Thursday about Google's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational AI, and machine learning trends to watch in 2020.
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Researchers at Carnegie Mellon University have developed a way to create a complex simulated universe in less than a day. The technique, published in this week’s Proceedings of the National Academy of Sciences, brings together machine learning, high-perfo... (more…)
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Offered by Yandex. This course will teach you efficient and scalable data labeling for ML and various business processes. The key here is ... Enroll for free. (more…)
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