Applied Data Science and Analytics

Running head: APPLIED DATA SCIENCE AND ANALYTICS
APPLIED DATA SCIENCE AND ANALYTICS
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1APPLIED DATA SCIENCE AND ANALYTICS
Discussions
The topic of the essay is neural networks. A neural network is a sequence of
algorithms that endeavours to identify the associations those are underlying in the sequence
of the data via some procedures that imitates a way that the brain of the humans operate
(Klambauer et al 2017). The neural networks are defined as a system of neurons and they can
be either artificial or organic.
A neural network includes various layers of nodes those are interconnected. Every
node is a type of perceptron and is same as more than one regression that is linear. The
perceptron nourishes the signal that is generated by more than one regression that is linear
into a kind of function that is activation and it may not be linear.
Neural network are utilised with the applications for the operations of finances,
planning of enterprise, business analytics and many more. The neural networks have added
acceptance in the applications of business that includes solutions of research of marketing
and forecasting, recognition of fraud and assessment of risk (O’Shea, Corgan and Clancy
2016). The neural networks are also used in the recognition of speech, recognition of
characters, face recognition and there are many such applications where neural networks are
utilised widely.
There are different benefits of neural networks and the benefits of the neural networks are
as follows (Prieto et al 2016)
 They have the capability to learn and then model complicated and non-linear relationships
 The neural networks can generalize after they learn from the inputs those are initial and
their relationships