Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 24
This course provides an introduction to deep learning techniques with TensorFlow 2.4, focusing on the application of these methods to detect and mitigate anomalies in data such as time series. Participants will gain the skills to create deep-learning algorithms for data anomaly detection. ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
This course will teach you how to create deep-learning algorithms for detecting and mitigating anomalies in data such as time series.
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.
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to create machine learning algorithms for dealing with various anomalies in data. Learners will learn how to precisely define anomalies in data, detection algorithms, and how to mitigate anomalous data. Additionally, learners will gain knowledge in data analysis, data visualization, and data engineering. Furthermore, learners will gain an understanding of Python programming and TensorFlow.
How does this course contribute to professional growth?
This course provides learners with the skills and knowledge to use deep learning techniques with TensorFlow 4 to detect and mitigate anomalies in data such as time series. It can be used as a stepping stone for learners to further their knowledge in data science, machine learning, and deep learning. By completing this course, learners will have the ability to create machine learning algorithms for dealing with various anomalies in data, as well as develop their skills in data analysis, data visualization, and data engineering. This course can thus contribute to professional growth by providing learners with the necessary skills and knowledge to work with data anomalies and further their knowledge in data science, machine learning, and deep learning.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides learners with the skills and knowledge to create machine learning algorithms for dealing with various anomalies in data. Additionally, learners should have a basic understanding of Python programming and TensorFlow, as well as some experience with data analysis and data visualization. To further their knowledge, learners can take courses in data science, machine learning, and deep learning.
Course Provider
Provider Pluralsight's Stats at AZClass
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Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Tensorflow skills no matter in career or in further education. Even if you are only slightly interested, you can take Detecting Data Anomalies using Deep Learning Techniques with TensorFlow 24 course with confidence!
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