DEEP LEARNING FOR BUSINESS (4 SCU)

Learning Outcomes:

On successful completion of this course, students will be able to: define deep learning concepts and techniques; explain collection of data and preprocessing techniques for pre-processing the data; design the predictive and descriptive models to solve problem; analyze  the implementation of the model which appropriate to the need.

Topics:

1. Fundamentals of Deep Learning;
2. Fundamental Concepts of Algorithms;
3. Data Pre-processing;
4. How to build the model : Predictive Model;
5. How to build the model : Descriptive Model;
6. Programming Languages : Phyton (Data pre-processing);
7. Programming Languages : Phyton (Build the model);
8. Industrial Applications of deep learning : Healthcare Industry;
9. Industrial Applications of deep learning : Finance or Banking Industry;
10. Industrial Applications of deep learning : Education Industry;
11. Industrial Applications of deep learning : Government Agencies;
12. Industrial Applications of deep learning : Web Marketing;
13. Project Presentation.