[Geo4All] 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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