Beate Sick

About The Author

Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich.

Books by Beate Sick

Probabilistic Deep Learning

With Python, Keras and TensorFlow Probability

By Beate Sick and Oliver Duerr
Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book pro...
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