Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
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Concha Bielza is a professor in the Department of Artificial Intelligence at Universidad Politécnica de Madrid. She has published more than 120 journal papers and coauthored the book Industrial Applications of Machine Learning (2019). She was awarded the 2014 UPM Research Prize.
Pedro Larrañaga is a professor in the Department of Artificial Intelligence at Universidad Politécnica de Madrid. He has published more than 150 journal papers and coauthored the book Industrial Applications of Machine Learning (2019). He is fellow of the European Association for Artificial Intelligence and of Academia Europaea.
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hardcover. Zustand: Very Good. Data-Driven Computational Neuroscience: Machine Learning and Statistical Models This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9781108493703
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Zustand: New. Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-de. Artikel-Nr. 371718980
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Buch. Zustand: Neu. Neuware - Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data. Artikel-Nr. 9781108493703
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