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SUMMARY:PWF Honduras: Theory and Applications of Machine Learning 
DTSTART;VALUE=DATE-TIME:20261123T150000Z
DTEND;VALUE=DATE-TIME:20261204T230000Z
DTSTAMP;VALUE=DATE-TIME:20261112T061347Z
UID:indico-event-11536@ictp.it
DESCRIPTION:\n	\n		\n		The primary aim of ICTP PWF Honduras: Theory and A
 pplications of Machine Learning is to strengthen foundational knowledge o
 f machine learning and artificial intelligence among students and early-ca
 reer researchers from diverse backgrounds in Honduras. Through a combinati
 on of lectures and hands-on practical sessions\, participants will gain ex
 perience with modern computational and data analysis tools\, develop progr
 amming and problem-solving skills\, and learn about current research appli
 cations of machine learning. \n		In addition\, participants will have the
  opportunity to connect with researchers from institutions around the worl
 d through online talks. These sessions will allow them to learn firsthand 
 how scientists use machine learning in their research and how these method
 s can be applied across different scientific disciplines. These interactio
 ns will foster opportunities for mentorship\, collaboration\, and future a
 cademic development. Organisers \n		 \n				Edith Natalia Villegas Garci
 a\, ICTP \n			\n				Carlos Enmanuel Soto Lopez\, OGS \n			\n				Lucio Vi
 llanueva\, UNAH \n			\n				Melissa Cruz\, UNAH \n		Speakers\n				Edith N
 atalia Villegas Garcia\, ICTP \n			\n				Carlos Enmanuel Soto Lopez\, OGS
  \n			\n				Ana Rivera\, Massachusetts Institute of Technology \n			\n		
 		Alvaro Carbonero\, Massachusetts Institute of Technology \n			\n				Dan
 iela Pinto\, New York University \n			\n				Elena Villalobos\, Tecnológi
 co de Monterrey \n			\n				Alex Rodriguez\, University of Trieste \n			\
 n				Alessio Ansuini\, University of Trieste \n			\n				Joshua Lemus\, Un
 iversity of Modena \n			\n				Manuel Vasquez\, GIMM  \n			\n				Edgar C
 arrera\, CERN \n		\n		 Main Topics \n				Introduction to Machine Learni
 ng \n			\n				Supervised Learning (regression\, classification) \n			\n	
 			Unsupervised Learning (clustering\, PCA\, dimensionality reduction) \n
 			\n				Neural Networks (convolutional networks\, transformers\, LLMS)\n
 			\n				AI Agents\n			\n				Reinforcement Learning \n			\n				Ethics of 
 AI & Machine Learning\n			\n				Data analysis in Neuroscience\n			\n				Da
 ta analysis in Particle Physics\n			\n				Data analysis in Molecular Biolo
 gy\n			\n				Data analysis in Medical Imaging \n		\n		 Language: All the
  courses will be taught in Spanish\, with some invited lectures in English
  Format: In person Registration: No registration fee Registration form:
  https://docs.google.com/forms/d/e/1FAIpQLScLMwvvdho4WaTA0CxTO8cFNtx0l7woj
 HmJ9I2F2FYGl-G1Sw/ Registration period: 1–30 Oct 2026 Notification of 
 selected participants: 15 Nov 2026 Website https://machine-learning-hond
 uras.org/\n		 \n\n\n\n//indico.ictp.it/event/11536/
LOCATION:Universidad Nacional Autónoma de Honduras (UNAH)
URL://indico.ictp.it/event/11536/
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