"From Statistics to Machine Learning"

Statistics and Econometrics:

• Under given probabilistic assumptions estimate parameters of the model
• Focus on significance of the parameters and the derivation of the distributions

Supervised Machine Learning:

• In supervised machine learning one focuses on the accuracy of the predictions
• Probabilistic assumptions are not necessarily

Format: (20 minutes presentation)

Lecture: Ivan Zhdankin: Systematic Trading, JPMorgan Chase & Co.

This lecture will be in English with written translation to Spanish (via Microsoft translator) .

Panel: (40 minutes debate)

Panellists:

• Rocio Villegas: Central Bank, Colombia
• Claudia Arellano: Data & Analytics Manager, Everis
• Nohora Galán Navarro: Data Science, Whale & Jaguar
• Juan Félix Pascual: Founder and Data Science Specialist, Loopa

In Spanish with written translation to English (via Microsoft translator).