Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
Sign up for our weekly newsletter!
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!