Description
Artificial intelligence and Machine Learning have revolutionized various aspects of our lives, from work to leisure activities. Whether it's introducing innovations such as self-driving vehicles and personalized recommendation systems, or improving existing technologies like medical diagnosis and online search algorithms, the demand for expertise in AI and machine learning is growing rapidly.
This Machine Learning with Python course will give you all the tools you need to get started or advance your knowledge on machine learning with Python.
The course has a strongly practical hands-on focus, and students will gain experience in applying machine learning on real data and interpreting the results. Through lectures and practicals, the students will learn the necessary skills to explore, design, implement, and understand their own machine learning applications. We will cover both fundamental and advanced concepts of machine learning such as data exploration and visualization, supervised and unsupervised models, evaluation, deep learning models and explainability.
Participants should have a basic knowledge of programming and a strong motivation of scripting and programming in Python.
Resources:
Participants are requested to bring their own laptop computer. Software will be freely available online
Data Science specialisation
This course can be taken separately, but is also part of a series of 8 courses in the Summer School Data Science specialisation taught by UU’s department of Methodology & Statistics:
- Data Science: Advanced Techniques for Handling Missing Data in analysis and prediction workflows (Course code S28, 24-27 March 2025)
- Data Science: Programming with Python (Course code S17, 7-11 July 2025)
- Data Science: Network Science (Course code S37, 7-11 July 2025)
- Data Science: Statistical Programming with R (Course code S24, 14-18 July 2025)
- Data Science: Applied Text Mining (Course code S42, 14-18 July 2025)
- Data Science: Machine Learning with Python (This course)
- Data Science: Data Analysis (Course code S31, 2026)
- Data Science: Text Mining with R (Course code S41,2026)
Upon completing, within 5 years, 3 out of 8 courses in the Summer School Data Science specialisation (no more than one text mining course), students can obtain a certificate.
Please see here for more information about the full specialization
Target audience
Academics, researchers, professionals who want to know more and apply some of the most well known models in the field of Machine Learning
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here
Aim of the course
The aim of the course is to teach some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, tree-based methods, support vector machines, clustering, deep learning, and more
Study load
The course runs for five full days, typically starting at 9:00 and ending at 17:00. Each day includes breaks for coffee and tea, lunch, as well as drinks and snacks.
Costs
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Course fee:
€895.00
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Included:
Course + course materials + lunch
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Housing fee:
€200
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Housing provider:
Utrecht Summer School
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
There are no scholarships available for this course.
Additional information
The housing costs do not include a Utrecht Summer School sleeping bag. This is a separate product on the invoice. If you wish to bring your own bedding, please deselect or remove the sleeping bag from your order.
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