About this program
Introduction to Machine Learning in Geosciences
A large number of applications that only a few years ago would have been considered impossible to be performed without any sort of human interaction are now autonomously executed by increasingly more powerful machines and sophisticated algorithms. 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.
In many fields of Geosciences datasets are growing in size and variety at an exceptionally fast rate, highlighting the need for new data processing and assimilation techniques that are able to exploit the information deriving from this data explosion. Machine-learning techniques have the potential to push forward the state of the art of data analysis procedures used in different fields of the Geosciences. In this context, we propose a summer school that focuses on the use of Machine Learning techniques to geophysical, geological and environmental data.
Basic knowledge of calculus, linear algebra and statistics (suggested)
Basic knowledge of Python Programming (compulsory)
- The maximum number of participants is set to 25
- The Summer School will be activated with at least 5 participants
- Eligible candidates will be admitted following a "first come, first served" rule
Does this course require proof of English proficiency?
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The school will cover topics listed below. Each topic will be accompanied by specific practical sessions, focused on the solution of general geophysical, geological and environmental problems.
Overview of the course and general machine learning concepts
Regression (Linear and Non-linear regression techniques)
Classification (Logistic Regression, K-NearestNeighbors and Support Vector Machines)
Clustering (k-means, Hierarchical Clustering, DB-Scan)
Data Reduction (PCA and ICA)
Basics on Artificial Neural Networks (Activation function, Back-propagation, Training and Optimization)
The Multi-Layer Perceptron
Convolutional Neural Networks for image classication
Scholarships & funding
Total tuition fee: 500 euro
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About this institute
Summer Courses & Master Programs at University of Pisa, Italy
Established in 1343, the University of Pisa is an internationally-renown public institution, ranking among the top eight Italian universities and top 300 universities world-wide. The university has 20 departments with many high-level research centers, such as: Agriculture Astrophysics Computer science...
Why study at University of Pisa
Founded in 1343, the University of Pisa is one of the most prestigious universities in Italy. Famous alumni of the University include Galileo Galilei, 3 Nobel prize winners and 2 Fields medalist.It is amongst the top 3 universities in Italy (ARWU).Nowadays the University of Pisa represents a prestigious modern center for teaching and advanced research.Pisa offers international students the unique opportunity to study and experience the richness of Italian history and culture in a beautiful and stimulating environment. Famous across the world for the Leaning Tower, almost all of its departments are located in the heart of the city. Its strategic geographical location, the international airport and the excellent rail connections offer the possibility of weekend trips to other parts of Italy and Europe.
The Foundation Course
A one-year programme taught exclusively in English, which bridges the gap between High School and University studies and it equips students with the appropriate academic grounding for an Italian degree at the University of Pisa.This programme is aimed at International students who have 11 or 10 years of schooling and have successfully completed High School and at American students who have not taken Advanced Placement (AP) courses during the last year of High School nor have attended 2 years of College
Intensive academic courses for international students and also for graduates.They mostly last from 1 to 6 weeks and take place in an international context, with students and lecturers coming from various parts of the world and all lectures delivered in English.They are characterized by nonconventional teaching formats (workshops, tutorials, excursions, cultural events, business testimonials, etc.) and a multidisciplinary approach. Professors are experts in their areas and have a keen interest in what they do.Summer Schools meet strict academic regulations: each grants at least 3 ECTS credits and the participants who successfully pass the final exams will receive an official academic transcript.
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