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Post-Processing  
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 Big data refers to data sets that are too large or complex to be dealt with by traditional data-
processing application software.
 Big Data is characterised by several values – Volume, Variety, Velocity, Veracity, Value, and Variability.
 Big data analytics provides tools to AI for better data analysis, while AI requires big data to learn
and improve decision-making processes.
 Data mining is the process used by companies to turn raw data into useful information.
 Data mining involves exploring and analysing large blocks of information to glean meaningful
patterns and trends.

 An Artificial Neural Network (ANN) is an artificial neural network, composed of artificial neurons
or nodes.
 ANNs are composed of an input layer, one or more hidden processing layers, and an output layer.
 Deep Learning (DL) is essentially a neural network with three or more layers that attempts to
simulate the behaviour of the human brain, allowing it to learn from large amounts of data.
 Data science is a combination of math and statistics, specialised programming, advanced
analytics, artificial intelligence, and machine learning with specific subject matter expertise to
uncover actionable insights hidden in an organisation’s data.
 A Data scientist is a person who works with other data engineers and experts to recommend
the data to be used in projects involving AI.

 In future years, AI will touch every sphere of activity and field of learning.

INFO RETENTION
INFO RETENTION

A. Select the correct option for each of the following statements.

1. The process used by companies to turn raw data into useful information is ______.
(a) Data Extraction (b) Data Mining (c) Data Collection (d) Data Coverage

2. Which of these is not a layer in an ANN?
(a) Input (b) Data (c) Output (d) Hidden
3. Data sets that are too large or complex to be dealt with by traditional data-processing application
software are called ______.
(a) Huge Data (b) Large Data (c) Complex Data (d) Big Data

4. The connections of the biological neurons are modelled in artificial neural networks as ______.
(a) Weights (b) Heights (c) Areas (d) Points

5. Which of these is not a characteristic of Big Data?
(a) Variety (b) Veracity (c) Vanity (d) Volume

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