PluralSight – Detecting Data Anomalies using Deep Learning Techniques with TensorFlow

PluralSight – Detecting Data Anomalies using Deep Learning Techniques with TensorFlow
English | Tutorial | Size: 176.9 MB

In this course, Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 2.4, you’ll learn to spot specific patterns in large datasets that can be labelled as anomalies. First, you’ll explore how to precisely define anomalies in data. Next, you’ll discover detection algorithms. Finally, you’ll learn how to mitigate anomalous data. When you’re finished with this course, you’ll have the skills and knowledge of creating machine learning algorithms needed for dealing with various anomalies in data.

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