Machine Learning & Deep Learning Flashcards

1
Q

Define artificial intelligence.

A

Artificial intelligence allows computers to mimic the thinking capacity of humans.

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2
Q

What is meant by machine learning?

A

Machine learning is a type of artificial intelligence that enables computers to learn on its on its own. A computer or any other device equipped with machine learning can process data and evolve with minimal human assistance.

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3
Q

What is deep learning?

A

Deep learning can be considered as a machine learning technique that enables computers to adapt the way the human brain works completely.

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4
Q

List how deep learning differs from machine learning.

A

Deep Learning:
* Better capability
* Large amount of data is required as input
* The structure of the model is multi-layered
* Can function with almost no human assistance
* Algorithm can completely think on its own

Machine Learning:
* Accuracy and capability is comparatively less
* Amount of data required can be any amount
* The structure of simple
* Some human intervention is required from time to time
* A basic algorithm has to be generated by humans which automatically gets better

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5
Q

An Artificial Neural Network consists of multiple ________________ of interconnected artificial neurons.

A

Layers

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6
Q

Unsupervised machine learning can be used to detect _____________________ bank transactions.

A

Fraudulent

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7
Q

_______________________________ learning works by learning from labelled examples.

A

Supervised machine

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8
Q

The ___________________________ layers of ANN enable deep learning systems to uncover patterns and generate algorithms on their own.

A

Multiple hidden

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9
Q

Computers using reinforcement learning continuously interact with their _____________________.

A

Environment

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10
Q

The main objective of ________________________ is to train computer systems to mimic the way of thinking and judgement of human beings.

A

Machine Learning

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11
Q

Artificial intelligence is applicable in emails, social networking and video streaming platforms, online shopping websites, self driving vehicles and facial recognition software.

A

True

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12
Q

A device using reinforcement learning model aims to maximise the number of the negative signal it receives.

A

False

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13
Q

An ANN contains two types of layer: input and output

A

False

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14
Q

Unsupervised machine learning can be used for the detection of fraudulent transactions.

A

True

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15
Q

Computers use supervised machine learning to classify, sort or organize unlabelled data.

A

False

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16
Q

Self driving vehicles use deep learning algorithms to detect distances from other vehicles and guide movements.

A

True