Machine Learning

Machine Learning fuels Big Data initiatives around customer profiles, point of sales transactions, and operating performance.

Business analytics is defined as the study, integration, and application of knowledge, skills, and methods for using data, statistical analysis, quantitative approaches, and predictive modeling to enable data-driven decision-making, innovation, and leadership in organizations.

Organized around case studies of business analytics in a wide variety of industries, this conference focuses on how machine learning helps management define, contextualize, and evaluate their business strategies.

By successfully completing the Summer School Program, you will earn 4 ECTS credits, as well as a professional certificate.

Learning Objectives

On successful completion of the course, the students shall be able to:

  • Understand the machine learning process
  • Organize and aggregate data using appropriate descriptive statistics.
  • Transform data in a base table that can be used as input for machine learning techniques
  • Create informative features that help the model predict.
  • Chose an appropriate algorithm given the decision-making context

Course syllabus available upon request. 


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