Literacy Essentials: Core Concepts Data Normalization

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Free Online Course: Literacy Essentials: Core Concepts Data Normalization provided by Pluralsight is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Pluralsight. Literacy Essentials: Core Concepts Data Normalization is taught by Ifedayo Bamikole.

Overview
  • 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.