Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 2.4

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Andrei Pruteanu

1:32:45

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1. Course Overview

1. Course Overview.mp4

02:08

2. Introduction

1. Introduction.mp4

02:28

2. Summary.mp4

06:06

3. Statistical Methods.mp4

05:00

4. Prerequisites.mp4

03:01

3. Exploratory Data Analysis

1. Finding a Dataset.mp4

02:35

2. Demo - EDA Part 1.mp4

04:13

3. Demo - EDA Part 2.mp4

06:09

4. Definition and Anomaly Types

1. Taxonomy.mp4

06:50

2. Real Data.mp4

06:18

5. Detection Algorithms

1. Demo - Statistical Approaches Part 1.mp4

08:36

2. Demo - Statistical Approaches Part 2.mp4

06:18

3. Demo - Deep-Learning Approaches Part 1.mp4

12:56

4. Demo - Deep-Learning Approaches Part 2.mp4

11:32

6. Mitigation Techniques

1. Techniques and Metrics.mp4

08:35

Description

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.

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Deep Learning

TensorFlow

Andrei Pruteanu

Instructor's Courses

Andrei is a passionate Data Scientist. He started his career in tech in the automotive industry. After that he pursued a PhD in CS at Delft University of Technology, the Netherlands. Since the graduation of his studies, he worked with large data-sets in domains ranging from scientific research, energy and utilities. Currently he is consultant in Data Science and working mainly with NLP tools. He enjoys being part of the analytics community and regularly joins conferences and specific meetups.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.