Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 2.4

Free Download Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 2.4
Andrei Pruteanu | Duration: 1:32 h | Video: H264 1280×720 | Audio: AAC 48 kHz 2ch | 176 MB | Language: English
This course will teach you how to create deep-learning algorithms for detecting and mitigating anomalies in data such as time series.
What you’ll learn
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.

https://www.pluralsight.com/courses/detecting-data-anomalies-deep-learning-techniques-tensorflow

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