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You're reading from  AI & Data Literacy

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Published inJul 2023
PublisherPackt
ISBN-139781835083505
Edition1st Edition
Concepts
Artificial Intelligence
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Bill Schmarzo
Bill Schmarzo
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Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

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Understanding the Confusion Matrix

The previous chapter discussed the Decision Matrix and Pugh Matrix to help us make informed decisions. The next step beyond Decision Matrix and Pugh Matrix is the Confusion Matrix, a most aptly named statistical construct. A Confusion Matrix is used to evaluate the performance of an AI / ML model by comparing the predicted results with the actual results. The matrix shows the number of true positive, true negative, false positive, and false negative predictions made by the model. In other words, it shows the number of correct and incorrect predictions made by the model. It can be used to calculate a variety of AI / ML model performance metrics, such as precision, recall, and accuracy, which can help to identify the strengths and weaknesses of the AI / ML model.For example, let’s say I’m a shepherd, and my job is to correctly distinguish between my sheepdog protecting my sheep and a wolf out to eat my sheep. Unfortunately, I have bad eyesight...

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AI & Data Literacy
Published in: Jul 2023Publisher: PacktISBN-13: 9781835083505
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

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