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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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Questions and answers

  1. Which variables of the heart dataset are suitable for regression?

Actually, all of them. But the ideal ones are those that are real-valued.

  1. Does the scaling of the data change the distribution of the data?

No. The distribution remains the same. Statistical metrics such as the mean and variance may change, but the distribution remains the same.

  1. What is the main difference between supervised and unsupervised dimensionality reduction methods?

Supervised algorithms use the target labels, while unsupervised algorithms do not need that information.

  1. When is it better to use batch-based dimensionality reduction?

When you have very large datasets.

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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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