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Featured byUniversity of Pisa Summer School
Overview
Fed by an enormous quantity of available data, machine learning algorithms can learn, without being explicitly programmed, to solve complex tasks such as speech, face, and object recognition or to play and even defeat the best human players at the ancient game of Go.
Machine-learning is becoming an essential skill in many data-intensive scientific fields, including Earth Sciences related disciplines. The Machine Learning in Geosciences program is offered at University of Pisa .
Aim
This summer school aim to provide an overview of the main machine learning methods and their application to geophysical, geological and environmental data, keeping a more practical flavour.
After the course the student will be able to use basic machine learning techniques applied to geosciences. The student will learn to identify which ML method is more suitable than others for the analysis of a particular datasets and to evaluate the performance of the used models. After the course the student will also have an overview of the main Machine Learning libraries (in particular SciKit-Learn, Tensorflow and Keras)
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Visit official programme websiteProgramme Structure
Courses include:
- Regression (Linear and Non-linear regression techniques)
- Classification (Logistic Regression, K-Nearest Neighbors and Support Vector Machines)
- Clustering (k-means, Hierarchical Clustering, DB-Scan)
- Data Reduction (PCA and ICA)
- Convolutional Neural Networks for image recognition
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
3 ECTS
Delivered
On Campus
Disciplines
Computer Sciences Machine Learning View 3 other Short Courses in Computer Sciences in ItalyExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Pisa and/or in Italy, please visit Student Insurance Portal.
Other requirements
General requirements
- Basic knowledge of calculus, linear algebra and statistics (suggested).
- Basic knowledge of Python Programming.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To always see correct tuition fees
-
International
500 EUR/fullTuition FeeBased on the tuition of 500 EUR for the full programme during 5 days. -
National
500 EUR/fullTuition FeeBased on the tuition of 500 EUR for the full programme during 5 days.
Living costs for Pisa
750 - 1100 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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