[Spatial-Ecology] few seats available for 'Course: Geocomputation and Machine Learning'

[Giuseppe Amatulli]

Dear Colleagues,

We still have a few seats available for our exciting upcoming course 
that enhances computational skills in the geographic domain:

A Fall 2025 training Course: Geocomputation and Machine Learning for 
Environmental Applications (intermediate level)

https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/

The course will be offered *online* with a supplementary 5-day in-person 
segment at the University of Basilicata, in the magnificent town of 
Matera, Italy.
It’s a great opportunity for PhD students, Post-Docs, and professionals 
to advance their skills in geocomputation & ML using Linux-based tools 
and open-source Python frameworks.

Note: The course requires an intermediate level of Python, which can be 
achieved in the coming months through self-paced learning.

Please help us spread the word by forwarding this announcement within 
your networks.
Sincerely,

Giuseppe Amatulli  & the Spatial Ecology Team

*Geocomputation and Machine Learning for Environmental Applications  
(intermediate level;  September, October, November, 2025)*

https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/
On this course, students will be introduced to an array of powerful 
open-source geocomputation tools and machine learning methodologies in 
the Linux environment. Students who have never been exposed to 
programming in Linux will acquire confidence in using advanced open 
source data processing routines. Those with a programming background 
will find the course beneficial in improving their programming and 
modelling skills. We aim to equip attendees with powerful programming 
tools, as well as hone their abilities for independent development. This 
will be valuable not only for GIS related applications but also for 
general data processing and applied statistical computing in a number of 
fields. We strive to provide the best grounding for career development 
as a geographic data scientist.

-- 
___________
Dr. Giuseppe Amatulli,
Director of Spatial Ecology
g.amatulli at spatial-ecology.net

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