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Machine Learning

2015
What the reader should know after reading in this chapter Supervised learning, Unsupervised learning, Semi-supervised learning, Reinforcement learning.
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
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Do Machine-Learning Machines Learn?

2018
We answer the present paper’s title in the negative. We begin by introducing and characterizing “real learning” (\(\mathcal {RL}\)) in the formal sciences, a phenomenon that has been firmly in place in homes and schools since at least Euclid. The defense of our negative answer pivots on an integration of reductio and proof by cases, and constitutes a ...
Selmer Bringsjord, Naveen Sundar Govindarajulu, Shreya Banerjee, John Hummel   +3 more
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Machine learning and learning from machines

The Leading Edge, 2018
Machine learning has been around for decades or, depending on your view, centuries. To consider the tools and underpinnings of machine learning, one would need to go back to the work of Bayes and Laplace, the derivation of least squares, and Markov chains, all of which form the basis and the probability construct used pervasively in machine learning ...
Ehsan Zabihi Naeini, Kenton Prindle
openaire   +1 more source

Machines Who Learn

Scientific American, 2016
The article discusses artificial intelligence (AI) and the machine learning known as deep learning, referencing the history of AI from the 1950s through the mid 2010s and the algorithms used in deep learning. The use of artificial neural networks in deep learning, including in regard to training a neural network to recognize faces and patterns in ...
openaire   +2 more sources