Data Science Lecture 2: Machine Learning and Neural Networks

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10 Questions

How many neurons are there in a typical brain?

10 billion neurons

What part of a neuron receives input from other neurons?

Dendrites

Which component of the Artificial Neural Networks (ANNs) is responsible for modeling the relationships between input and output data?

Activation Function

What is the function of the Cell body in a neuron?

Input processing

In machine learning terms, which type of classifier can model nonlinear and complex relationships between input and output data?

Neural Network Classifier

What is the purpose of the activation function in artificial neural networks?

To introduce non-linearity into the output of a neuron

What does a weight near zero represent in an artificial neural network?

The input value does not influence the output significantly

What does the bias parameter help control in an artificial neural network?

The value at which the activation function will trigger

What does a neural network become without an activation function?

A linear regression model

What is the purpose of representing a bias as an extra input in an artificial neural network?

To make the model more flexible and fit best for given data

Test your knowledge on machine learning, neural networks, and their applications in data science. This quiz covers topics such as how artificial neural networks work, forward propagation, weight interpretation, activation function, bias, learning rate, training examples, and applications of neural networks.

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