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You're reading from  Deep Learning for Beginners

Product typeBook
Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Deep Learning
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Author (1)
Dr. Pablo Rivas
Dr. Pablo Rivas
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Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas

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Categorical data and multiple classes

Now that you know how to binarize data for different purposes, we can look into other types of data, such as categorical or multi-labeled data, and how to make them numeric. Most advanced deep learning algorithms, in fact, only accept numerical data. This is merely a design issue that can easily be solved later on, and it is not a big deal because you will learn there are easy ways to take categorical data and convert it to a meaningful numerical representation.

Categorical data has information embedded as distinct categories. These categories can be represented as numbers or as strings. For example, a dataset that has a column named country with items such as "India", "Mexico", "France", and "U.S". Or, a dataset with zip codes such as 12601, 85621, and 73315. The former is non-numeric categorical data, and the latter is numeric categorical data. Country names would need to be converted to a number to be usable...
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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859
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Author (1)

author image
Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas

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