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Thursdays 18:00 - 19:30 
Starting date: 23 February 2017
Finishing date: 13 April 2017 

This is a quick overview to the ever-growing field of machine learning. We will cover the basics of a wide spectrum of algorithms and applications to give you an overall feeling for the field. We will use different R libraries for this.

Prerequisites:

• At least some experience with programming languages is highly recommended.
• Download and install R and RStudio.

Lectures:

• Overview. Linear Regression.
• Classification.
• Resampling methods: Bootstrapping and cross-validation.
• Linear model selection and regularization.
• Generalized Additive Models.
• Tree-Based Methods
• Support Vector Machines
• Unsupervised Learning

Participants who attend at least 75% of the sessions will obtain a Certificate of Attendance issued by CERGE-EI.

About the facilitator:

Juan Pablo Maldonado López
Pablo earned his PhD in Applied Mathematics at Université Paris VI - Pierre at Marie Curie. He was an adjunct professor at Universidad Michoacana de San Nicolás de Hidalgo and Instituto Tecnológico de Estudios Superiores de Monterrey. For the past two years he has worked as a Data Scientist in the Czech Republic for O2 Czech Republic and PricewaterhouseCoopers.  

Registration for this course is closed.

We thank our partner EY for supporting Economics Discovery Hub.