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You're reading from  Deep Learning for Beginners

Product typeBook
Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
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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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Ethical implications of manipulating data

There are many ethical implications and risks when manipulating data that you need to know. We live in a world where most deep learning algorithms will have to be corrected, by re-training them, because it was found that they were biased or unfair. That is very unfortunate; you want to be a person who exercises responsible AI and produces carefully thought out models.

When manipulating data, be careful about removing outliers from the data just because you think they are decreasing your model's performance. Sometimes, outliers represent information about protected groups or minorities, and removing those perpetuates unfairness and introduces bias toward the majority groups. Avoid removing outliers unless you are absolutely sure that they are errors caused by faulty sensors or human error.

Be careful of the way you transform the distribution of the data. Altering the distribution is fine in most cases, but if you are dealing with demographic...

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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859

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