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Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil. It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality. It was longlisted for the 2016 National Book Award for Nonfiction but did not make it through the shortlist.
They are: Learning Partnerships, Learning Environments, Pedagogical Practices, and Leveraging Digital. Born 1940, Michael Fullan is a Canadian educational researcher and former dean of the Ontario Institute for Studies in Education (OISE). He is noted for his expertise on educational reform, and has consulted to school districts, teacher groups ...
v. t. e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [ 1][ 2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain.
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Geoffrey Hinton. Geoffrey Everest Hinton CC FRS FRSC [ 12] (born 6 December 1947) is a British-Canadian computer scientist and cognitive psychologist, most noted for his work on artificial neural networks. From 2013 to 2023, he divided his time working for Google ( Google Brain) and the University of Toronto, before publicly announcing his ...
Ilya Sutskever. Ilya Sutskever FRS (born 1985/86 [ 4]) is a computer scientist who specializes in machine learning. [ 1] Sutskever has made several major contributions to the field of deep learning. [ 7][ 8][ 9] He is notably the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. [ 10]
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [ 2]
Mathematics of artificial neural networks. An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.