Title: PIYA18 (3)
1Machine Learning Overview
pythonandmltrainingcourses.com
2- Machine Learning is the most popular technique of
predicting the future or classifying information
to help people in making necessary decisions. - With the help of Machine Learning, we can develop
intelligent systems that are capable of taking
decisions on an autonomous basis. - The machine learning is used to build predictive
models by extracting patterns from large
datasets.
MACHINE LEARNING
3Machine Learning Process
4- Machine Learning Techniques
START
Unsupervised
Reinforcement
Supervised
Semi-supervised
In this type of learning, the algorithm is
trained upon a combination of labeled and
unlabeled data. Typically, this combination will
contain a very small amount of labeled data and a
very large amount of unlabeled data.
In this type of learning, the training of the
machine is done using the information which is
neither classified nor labeled. The machine
learning algorithm acts on information without
guidance. It groups unsorted information
according to similarities, patterns, and
differences without any prior training or
supervision.
This machine learning technique is all about
taking actions that are suitable and maximize
the reward in a particular situation. It is when
the learner receives rewards and punishments for
their actions and in this learning agent still
decides how to act to perform its task.
It is a learning in which the machine uses data
which is already tagged with the correct answer.
After that, the machine is provided with a new
set of data.
5- Future of Machine Learning
Machine Learning can be a competitive advantage
to any company be it a top MNC or a startup as
things that are currently being done manually
will be done tomorrow by machines. Machine
Learning revolution will stay with us for long
and so will be the future of Machine Learning.
Future Applications
- Machine Learning in Education
- Machine learning in Search Engine
- Machine Learning in Digital Marketing
- Machine Learning in Health Care
6- ML has the ability to automatically learn and
improve from past experiences. - They can perform without being explicitly
programmed. - It focuses on the development of computer
programs which can access data and use it to
learn for themselves. - The modern challenges are high-dimensional in
nature. - With rich data sources, it is important to build
models that solve problems in high-dimensional
space. - Through it, the models can be integrated into
working software. It supports the kinds of
products that are being demanded by the industry.
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8Other Professional Training Offered
9CONTACT US
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