Události

Tuesdays 17:00 - 18:30 
Starting date: 20 March 2018
Finishing date: 10 April 2018
Duration: 4 lessons
Course instructor: Pablo Maldonado

Registration for this course is closed. Please read about our selection process. Follow EDH on Facebook for the latest news and tips.

In this course we will dig into the most exciting technology around: deep learning. We will train neural networks in small data to teach you the basics to get you started developing your own applications.

Prerequisites:

• Solid knowledge of Python and machine learning (supervised/unsupervised learning fundamentals).
• The Anaconda distribution for Python 3 should be installed and working on your computer, as well as the keras and tensorflow libraries.

Lectures:

• Image classification.
• Transfer Learning.
• Deep Learning for NLP and text. Sequential prediction.

Practical assignment:

• During the last lecture you will solve a case study end-to-end and present your results.

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

About the facilitator:

Pablo Maldonado
Pablo earned his Ph.D. in Applied Mathematics at the Universite Paris VI - Pierre et Marie Curie in France. He is currently a data science consultant and lecturer at the Czech Technical University in Prague. Previously, he worked for O2 Czech Republic and PricewaterhouseCoopers as a data scientist, and lectured in two Mexican universities. In his spare time, Pablo enjoys cooking and improving his salsa and drumming skills.

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