Overview
Learn essential practical considerations for neural networks and gain valuable insights into building effective machine learning systems in this comprehensive lecture. Explore critical advice for developing learning-based programs while examining their broader societal implications and impacts. Delve into best practices and guidelines that help create responsible and effective machine learning solutions, ensuring awareness of both technical implementation and ethical considerations.
Syllabus
Machine Learning: Lecture 28: Practical concerns
Taught by
UofU Data Science