From g.amatulli at spatial-ecology.net Mon Jul 7 08:39:14 2025 From: g.amatulli at spatial-ecology.net (Giuseppe Amatulli) Date: Mon, 7 Jul 2025 17:39:14 +0200 Subject: [Spatial-Ecology] few seats available for 'Course: Geocomputation and Machine Learning' Message-ID: <14eb7c69-a908-4616-852b-b11efa784dfa@spatial-ecology.net> 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: