Calculus for Data Science

The workshop will take place tentatively on July 28, 2022, on Zoom and Youtube Livestreaming

About The Data Science Summer School

The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems today. It is organized by the Hertie School Data Science Lab with funding and support from the Hertie School.

Workshop Details

Many data science challenges, particularly those in machine learning and deep learning, are essentially optimisation problems. Ever wondered how exactly a logistic regression algorithm is implemented? Or how to use gradient descent? To understand how these methods work, you need to use concepts from Calculus - gradient, derivatives, limits, and chain rule. This workshop will help you to develop an understanding in this important branch of mathematics for data science.

[Syllabus to be updated soon]

Instructor

Prof. Zuheir Desai an Assistant Professor in the School of Global and Public Affairs at IE University. In his research, he studies electoral competition and political accountability. My work spans both theoretical models of elections, voting, and policymaking, as well as empirical applications of these models on developing democracies such as Brazil and India.


Schedule (Central European Summer Time - CEST)

Session Starts

Calculus for Data Science (Part I)

Short Break

Session Continues

Calculus for Data Science (Part II)

Session Ends


Registration