Deep Learning + GIS = Opportunity
The field of artificial intelligence (AI) has progressed rapidly in recent years, matching or, in some cases, even surpassing human accuracy at tasks such as image recognition, reading comprehension, and translating text. The intersection of AI and GIS is creating massive opportunities.
AI, machine learning, and deep learning are helping us make our world better by increasing crop yields through precision agriculture, fighting crime by deploying predictive policing models, and predicting when the next big storm will hit so we can be better equipped to handle it.
Broadly speaking, AI is the ability of computers to perform tasks that typically require some level of human intelligence. Machine learning is one type of engine that makes this possible. It uses data-driven algorithms that learn from data to give you the answers that you need. One type of machine learning that has emerged recently is deep learning. Deep learning uses computer-generated neural networks, which are inspired by and loosely resemble the human brain, to solve problems and make predictions.
Machine Learning in ArcGIS
Machine learning has been a core component of spatial analysis in GIS. Its tools...