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1. AI & Machine
Learning

2. It is also known as automatic speech
recognition (ASR), computer speech
recognition, or speech-to-text, and it is a
capability which uses natural language
processing (NLP) to process human speech
into a written format.
Speech Recognition:
This AI technology enables computers
and systems to derive meaningful
information from digital images, videos
and other visual inputs, and based on
those inputs, it can take action.
Computer Vision:
Online chatbots are replacing human
agents along the customer journey.
Customer Service:
what is AI ?
Artificial intelligence (AI) is intelligence
demonstrated by machines, as opposed
to natural intelligence displayed by
animals including humans.

3. History
The idea of 'a machine that thinks' dates back to ancient
Greece. But since the advent of electronic computing (and
relative to some of the topics discussed in this article)
important events and milestones in the evolution of artificial
intelligence include the following:
Alan Turing publishes Computing
Machinery and Intelligence.
1950
John McCarthy coins the term
'artificial intelligence' at the first-
ever AI conference at Dartmouth
College.
1956
Frank Rosenblatt builds the Mark
1 Perceptron, the first computer
based on a neural network that
'learned' though trial and error.
1967

4. Supervised
learning
Unsupervised
learning
Reinforcement
learning
Types of
Machine
Learning
There are three types
of machine learning

5. Uses of Machine Learning & AI:
• Traffic prediction
• Virtual Personal Assistant
• Speech recognition
• Email spam and malware filtering
• Bioinformatics
• Natural language processing

6. Fast, Accurate, Efficient.
Automation of most applications.
Wide range of real life applications.
Advantages of Machine Learning
Reduction in Human Error
Digital Assistance
Unbiased Decisions
Advantages of AI

7. Conclusion Artificial intelligence and machine learning are the
part of computer science that are correlated with
each other. These two technologies are the most
trending technologies which are used for creating
intelligent systems.
The Artificial intelligence system does not require
to be pre-programmed, instead of that, they use
such algorithms which can work with their own
intelligence. It involves machine learning
algorithms such as Reinforcement learning
algorithm and deep learning neural networks.