The aim of the course is to use theory and practice to immerse students in the core concepts of neural network models and the essential practices of real-world application. During the course, students will programmatically build a neural network and discover how to adjust the model’s essential parameters to solve different types of business challenges. They will implement early stopping, build autoencoders for a predictive model, and perform an intelligent automatic search of the model hyperparameter values.

At the end of this course, students will:
  • Acknowledge the integrated use of concepts, practices and tools specific to business administration to solve new problems in the context of digitization.Perform detailed research of business idea generation and implementation methodologies in the context of business digitalization.