AI for everyone

Question 1

What is AI ?

Answer 1

AI is a discipline in computer science that focuses on developing intelligent machines, machines that can learn and then teach themselves. These machines, then, can process vast amounts of data than humans can, and several times faster.

Question 2

Uses of AI

Answer 2

creating new healthcare solutions, to designing hospitals of the future, improving farming and our food supply, helping refugees acclimate to new environments, improving educational resources and access, and even cleaning our oceans, air, and water supply.

Question 3

Who is the Father of AI?

Answer 3

JOHN MC CARTHY [Father of AI] .

Question 4

Ai Will play a crucial role in..?

Answer 4

Al will play a crucial role to enable machines achieving equalling human capabilities.

Question 5

World famous AI machines

Answer 5

• Sophia the humanoid
• IBM Watson
• Google’s driverless car
• Azimo by honda

Question 6

History of AI

Answer 6

1950: the time when it all started
1955: John Mc Carthy coined the term artificial intelligence.
1974: Computers became faster and affordable.
1980: the year of AI. These were the years that saw flow of funds for research and algorithmic tools. The learning skills were enhanced and computers improved with deeper user experience.
2000: landmark if ai establishment achieved

Question 7

What is Machine Learning?

Answer 7

Machine Learning is a discipline that deals with programming the systems so as to make them automatically learn and improve with experience. Here, learning implies understanding the input data and taking informed decisions based on the supplied data”. In simple words, Machine Learning is a subset of AI which predicts results based on incoming data.

Question 8

What are the utilities of ML?

Answer 8

The utilities of ML are numerous. So as to detect spam emails, forecast stock prices or to project class attendance one can achieve results by means of earlier collected spam messages, previous price history records or procure 5 years or more attendance data of a class. ML will predict the results based upon previous data base experience available with it.

Question 9

Conventional Programming

Answer 9

Conventional Programming refers to any manually created program which uses input data, runs on a computer and produces the output.

Question 10

How is machine learning related to AI?

Answer 10

• AI is a technology to create intelligent machines that can recognize human speech, can see (vision), assimilate knowledge, strategize and solve problems as humans do. Broadly, AI entails all those technologies or fields that aim to create intelligent machines.
• Machine learning provides machines the ability to learn, forecast and progress on their own without specifically being programmed.
• ML system primarily starts with a ‘slow state’ (like a child) and gradually improve by learning from examples to become ‘superior’ (like an adult).
  *

Question 11

What is Data?

Answer 11

Data can be defined as a representation of facts or instructions about some entity (students, school, sports, business, animals etc.) that can be processed or communicated by human or machines. Data is a collection of facts, such as numbers, words, pictures, audio clips, videos, maps, measurements, observations or even just descriptions of things.
* Data maybe represented with the help of characters such as alphabets (A-Z, a-z), digits (0-9) or special characters (+, -, /, *, , = etc.)

Question 12

The first attempt to develop a machine that imitated the behaviour of a living being was made in the 1930s by

Answer 12

Thomas Ross

Question 13

Supervised Learning

Answer 13

A supervised learning algorithm learns from labelled training data, and then becomes ready to predict the outcomes for unforeseen data.

Question 14

Unsupervised Machine Learning

Answer 14

Unsupervised learning is a ML technique where we don’t need to supply labelled data, instead we allow the machine learning model (algorithm) to discover the patterns on its own. The task of the machine is to assemble unsorted information according to resemblances, patterns and variances without any former training of data. In this kind of learning, the machine is restricted to find a hidden structure in the unlabelled data without guidance or supervision.

Question 15

Reinforcement Machine Learning

Answer 15

Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.
* In reinforcement learning, the machine is not given examples of correct input-output pairs, but a method is provided to the machine to measure its performance in the form of a reward. Reinforcement learning methods resemble how humans and animals learn, the machine carries out numerous activities and gets rewarded whenever it does something well.

Question 16

Explain how Reinforcement Learning works with the help of a diagram?

Answer 16

In reinforcement learning, artificial intelligence faces a game-like situation. The computer employs trial and error to come up with a solution to the problem. To get the machine to do what the programmer wants, the artificial intelligence gets either rewards or penalties for the actions it performs. Its goal is to maximize the total reward.