July 2017
Beginner to intermediate
442 pages
10h 8m
English
Content preview from Statistics for Machine Learning
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Artificial neural networks - ANN
Artificial neural networks (ANNs) model the relationship between a set of input signals and output signals using a model derived from a replica of the biological brain, which responds to stimuli from its sensory inputs. The human brain consists of about 90 billion neurons, with around 1 trillion connections between them; ANN methods try to model problems using interconnected artificial neurons (or nodes) to solve machine learning problems.
As we know, ANNs have taken inspiration from the biological neuron. We will spend some time understanding how biological neurons work. Incoming signals are received by the cell's dendrites through a biochemical process that allows the impulses to be weighted according to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.