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Database Subject Enrichment
Artificial Intelligence has become the buzz-word in Information Technology. No field or sphere of activity
is untouched by it. Even authors and movie-makers seem enthralled by AI so much that so many books and
movies have been produced that describe use of AI in different forms.
• Moneyball is a non-fiction book that explores how the Oakland Athletics used statistical analysis to
outperform teams with larger budgets.
• In Captain America: The Winter Soldier, H.Y.D.R.A (disguised as S.H.I.E.L.D) develops helicarriers that use
data to determine and eliminate threats over the globe.
• In The Dark Knight, Batman uses a sonar device that can spy on all of Gotham City. The data is gathered
from the mobile phones of people within the city.

Post-Processingost-Processing
P
 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.

 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.
 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.

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

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