Teach artificial intelligence with Data Science Foundations
The “Artificial Intelligence” chapter is designed to introduce students to the basic principles of AI and provide guidelines for using AI responsibly.
Aimee Schwab-McCoy is the Senior Manager for Content Development in Data Science, Mathematics, and Statistics. She completed her PhD in Statistics at the University of Nebraska-Lincoln (2015). Before joining zyBooks in 2022, Dr. Schwab-McCoy was an Assistant Professor and Data Science Program Director at Creighton University, and a Lecturer at Institute of Technology Sligo. Dr. Schwab-McCoy has published several articles in statistics and data science education, and has received awards for teaching statistics in the health sciences.
The “Artificial Intelligence” chapter is designed to introduce students to the basic principles of AI and provide guidelines for using AI responsibly.
At zyBooks, we recognize the value of real-world applications in fostering a deeper understanding of complex concepts. Our case studies serve as a bridge between theoretical knowledge and practical application.
Having a thorough understanding of math is crucial to student success in data science courses. See how zyBooks can support your students’ needs.
These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.
These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.
These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.
These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.
Simply put, learning R is hard. In this guide, I’ll share six steps to helping your students get comfortable with this important programming language.
A question we hear from instructors is, how do you choose the right language for your data science courses?
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