PluralSight – Literacy Essentials: Core Concepts Data Normalization Bookware-KNiSO
English | Size: 79.39 MB
Category: Tutorial
This course will teach you about the different types of Data Normalization techniques you can use when preparing your Deep Learning datasets in Machine Learning
Deep Learning is a branch of Machine Learning based on Neural Networks. In this course, Literacy Essentials: Core Concepts Data Normalization, you’ll learn to use Normalization to place your dataset in an even playing field such that it can be easily analyzed. First, you’ll gain an understanding of why Normalization is needed in Deep Learning and in Machine Learning as a whole. Next, you’ll discover the different Normalization techniques available in Deep Learning. Finally, you’ll learn how to Implement these techniques by taking a look at scenarios. When you’re finished with this course, you’ll have the skills and knowledge of the Core Concepts of Data Normalization needed to understand Deep Learning.
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