LibGuides: DEN417 v1: Module 2

Lesson 3 Resources

Required Resources

Textbook

Data-Driven Science Engineering
Brunton, S.L., & Kutz, J.N. (2021). Data-driven science and engineering (2nd ed.). Cambridge University Press. https://go.openathens.net/redirector/nu.edu?url=https://www.cambridge.org/core/books/datadriven.science.and.engineering/77D52B171B60A496EAFE4DB662ADC36E

Read sections 4.1 Classic Curve Fitting and 4.2 Nonlinear and Gradient Descent. These sections cover the mathematical foundation found in the algorithms that run machine learning, deep learning, and AI.

Lesson 4 Resources

Required Resource

Textbook

Data-Driven Science Engineering
Brunton, S.L., & Kutz, J.N. (2021). Data-driven science and engineering (2nd ed.). Cambridge University Press. https://go.openathens.net/redirector/nu.edu?url=https://www.cambridge.org/core/books/datadriven.science.and.engineering/77D52B171B60A496EAFE4DB662ADC36E

Read sections 4.1 Classic Curve Fitting and 4.2 Nonlinear and Gradient Descent. These sections cover the mathematical foundation found in the algorithms that run machine learning, deep learning, and AI.

PowerPoints

The PowerPoints below will help guide you as you work through the interactive components ofthis module. The PowerPoints are a great place to take notes.