# DAN 611 — Applied Machine Learning (LAU)

> DAN 611 Applied Machine Learning at Lebanese American University. no student contributions yet.

Source: https://studiety.com/lau/course/6114
Retrieved: 2026-09-18

## Facts

- Course code: DAN 611
- Title: Applied Machine Learning
- University: Lebanese American University (LAU)
- Subject: Data Analytics
- Department: Inform. Tech. & Operat. Management
- Credits: 3
- Professors on record (1): Joseph Georges Constantin

## Catalogue description

Students in this course will learn about supervised and unsupervised training methods. The focus is on identifying relationships that cannot be found by basic statistics and used for example in customer satisfaction, branding, machine failure, resource allocation, fraud detection, and fraudulent activities. Techniques include Nearest Neighbors, Naive Bayes, deep learning, text mining, clustering, association rules, regularization and dimensionality reduction. The bias/variance trade-off and model selection is a focal point of the course and will be illustrated from multiple angles. Students will acquire hands-on experience on all techniques taught.

## Quick answers

### What is DAN 611 at LAU?

DAN 611 Applied Machine Learning is a 3-credit course at Lebanese American University (LAU), in the Inform. Tech. & Operat. Management department. Students in this course will learn about supervised and unsupervised training methods.

### How many credits is DAN 611?

DAN 611 Applied Machine Learning is worth 3 credits at LAU.

### Who teaches DAN 611 at LAU?

Studiety has 1 professor on record for DAN 611: Joseph Georges Constantin. Sections change every term, so check the registrar for who is teaching now.

## See also

- [All Data Analytics courses at LAU](https://studiety.com/lau/subject/data-analytics.md)
- [Every LAU subject](https://studiety.com/lau/subjects.md)

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