This document presents an overview of machine learning. It defines machine learning as a field that allows computers to learn without being explicitly programmed, and discusses how machine learning enables computers to automatically analyze large datasets to make predictions. The document then summarizes different types of machine learning techniques including supervised learning, unsupervised learning, reinforcement learning, and more. It provides examples of applications of machine learning like face recognition, speech recognition, and self-driving cars. In conclusion, it states that machine learning is already used across many industries and can improve lives in numerous ways.

1. Presented By-
Saumya Srivastava
Sudipta Gorai
Priyanka Rai(
Sweety Seth
SEMINAR PRESENTATION
ON
MACHINE LEARNING
DEPARTMENT OF COMPUTER SCIENCE AND
TECHNOLOGY

2. WHAT IS MACHINE LEARNING?
An exciting and potentially far-reaching development in
computer science is the invention and application of methods
of machine learning (ML). These enable a computer program
to automatically analyze a large body of data and decide what
information is most relevant. This crystallized information can
then be used to automatically make predictions or to help
people make decisions faster and more accurately.
Machine Learning: Field of study that gives computers the
ability to learn without being explicitly programmed.
In 1959, Quoted By-
Arthur Samuel

3. Why Machine Learning Now a
Tech Buzz?
Big Data Faster Processors

4. lusteringTypes of Machine Learning
Unsupervised
Learning
Reinforcement
Learning
Supervised
Learning
RegressionClassification
Clustering
Collaborative
Filtering
Spam/No
Spam
House Rate
Prediction
Social
Network
Analysis
Amazon/Netflix
Recommendations

5. NEURAL NETWORK
"...a computing system made up of a number of
simple, highly interconnected processing elements,
which process information by their dynamic state
response to external inputs.”
-- Dr. Robert Hecht-Nielsen

6. Face Recognition automatically
determines if two faces are likely to
correspond to the same person.
Speech Recognition is invading our
lives. It’s built into our phones, our game
consoles and our smart watches. It’s even
automating our homes.
With fully Self-Driving Technology,
you’ll be able to get where you want to go at
the push of a button—without the need for a
person at the wheel.
APPLICATIONS

7. Machines have Over smarted Human Brains
The win is more than a novelty.
‘Go is implicit. It’s all pattern
matching. But that’s what deep
learning does very well.’
Defeating the go champion
lee Sedol by 4-1
DEEP LEARNING
It is the class of machine learning algorithm.
It is based on artificial neural network.
It has been used by Google's deep mind to play the
ancient Chinese game, 'Go’.

8. REINFORCEMENT LEARNING
Reinforcement learning is an area of machine learning inspired by behaviorist
psychology, concerned with how software agents ought to take actions in an
environment so as to maximize some notion of cumulative reward.

9. CONCLUSION
As we move forward into the digital age, our technology
continues to make leaps and strides forward. This incredible
form of artificial intelligence is already being used in various
industries and professions. From marketing, to medicine, and
web security. This technology can improve our lives in several
numerous ways.
REFERENCES
https://en.wikipedia.org/wiki/Machine_learning
https://www.shutterstock.com/search/machine+learning

10. THANK YOU
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