This year, as the dry season approaches, the National Guard is helping California with wildfire prevention. To further prevent and fight these disasters, Artificial Intelligence (AI) is making new fire-fighting resources available.
Last year’s Camp Fire, the name given to California’s most destructive wildfire, burned over 150,000 acres and was responsible for 86 deaths. This year, as the dry season approaches, the National Guard is helping California with wildfire prevention. The National Guard will remove dead trees and vegetation and will create fuel breaks in the highest fire-risk zones. To further prevent and fight these disasters, Artificial Intelligence (AI) is making new fire-fighting resources available.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
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Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.