Conference Video: Machine Learning for Time Series Forecasting

This is Dalila Hattab’s presentation from WiDS Puget Sound Conference 2021. Enjoy!

ABSTRACT:

The aim of this presentation is to show how machine learning contributes in more accurate time series forecasting. This will be illustrated through two applications: (1) anomaly detection to reveal unexpected behavior; (2) investigation of the effect of the pandemic crisis on long-term investment.

BIO:

She is the head of Financial services Lab within Worldline Company. The Lab is an incubation area enabling the best conditions to stimulate creativity, innovation and expertise and to satisfy self-fulfilment. She is passionate by data science and has contributed to several scientific publications in the domain of time series analysis.