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AI & Data Literacy

You're reading from AI & Data Literacy

Product type Book

Published in Jul 2023

Publisher Packt

ISBN-13 9781835083505

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Bill Schmarzo

Table of Contents (14) Chapters

Preface

1. Why AI and Data Literacy?

2. Data and Privacy Awareness

3. Analytics Literacy

4. Understanding How AI Works

5. Making Informed Decisions

6. Prediction and Statistics

7. Value Engineering Competency

8. Ethics of AI Adoption

9. Cultural Empowerment

10. ChatGPT Changes Everything

11. Glossary

12. Other Books You May Enjoy

13. Index

Summary

Prediction & Statistics Savvy understands how we leverage patterns, trends, and relationships to predict what is likely to happen to make more accurate decisions.By understanding some basic statistical concepts, and the importance of learning from false positives and false negatives (and mitigating confirmation bias), we can build decision models that help us make more informed decisions, decisions that deliver more meaningful, relevant, responsible, and ethical outcomes.

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Authors (1)

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.

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