Program Image Foundations of Machine Learning with Applications in Python

Foundations of Machine Learning with Applications in Python

Short or summer course

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Research, policymaking, and business rely on ever-bigger data to answer wide-ranging questions. What are the risk factors for developing a disease? How to assess the risk profile of a new customer, when determining the appropriate insurance premium? How to best forecast unemployment? How to optimally target online advertisements? Machine-learning techniques are well-suited to answer such data-driven questions.

In this course, we provide a fast-paced and solution-oriented introduction to machine-learning algorithms. Special attention is paid to the theoretical foundations of machine-learning algorithms, as well as real-life applications.

During the lectures, we will introduce you to a wide variety of machine-learning techniques, ranging from linear and nonlinear regression models to dimensionality-reduction techniques and clustering methods, as well as deep learning using neural networks.

During the lab sessions, we will guide you step by step through real-life case studies in economics, business, and medicine. We discuss how to implement machine-learning solutions, from conceptualizing the problem and implementing the appropriate techniques in Python, to evaluating the quality of your solution and ensuring its scalability, as well as overcoming challenges such as overfitting

Language

English

Title

-

Duration

5 days

ECTS credits

Accreditation

Information not available

Tuition fee 2025/2026

€ 1,000


Admission

Application requirements

Basic knowledge of Python and Jupyter Notebooks, and intermediate knowledge of matrix algebra and statistics.

The summer course welcomes (research) master students, PhD students and post-docs with a quantitative background and who are interested in understanding and applying state-of-the-art machine-learning techniques for classification, prediction, and forecasting. We also welcome professionals from policy institutions such as central banks or international firms and institutions. 

Check when you can start and what you have to pay!

Tuition fees  
€ 1,000
Information not available
Information not available
Start date App. deadline EU/EEA App. deadline Non-EU/EEA
18 Aug '25 3 Aug '25 3 Aug '25

Contact

Vrije Universiteit Amsterdam

Main address
De Boelelaan 1105
1081 HV Amsterdam
020-5985020

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