Machine Learning in Agriculture with Python
Free participation in the webinar conducted by Prof. Glauco Rolim from the UNESP - Universidade Estadual Paulista (Brasil). 14th January at 14h00.
"Forecasting vineyard productivity from climatic conditions using Machine Learning with the Python language”, is the theme of the next CITAB webinar, presented by Prof. Glauco de Souza Rolim. He works at the Universidade Estadual Paulista - Campus de Jaboticabal and has carried out several works in areas such as: Agrometeorology, Climate Change and Agriculture, Water Balance, Bioclimatology, Micrometeorology, using Machine Learning and Deep Learning techniques. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Participation is free. Follow the link below to register.