techsparks2012

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Trending Topics in Machine Learning
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Machine Learning Algorithms

• Machine Learning uses algorithm to turn a dataset
  into model. Machine learning have the ability to
  calculate complex data in a fast manner. We can
  easily make decisions with less human
  intervention. Learning algorithms are classified
  into 3 categories
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

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Supervised Learning

• In supervised learning we use labelled datasets
  and model learns about each data . Then ,after
  training model is tested on the basis of test
  data . Supervised Learning is further divided
  into 2 types
• Regression
• Classification

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Regression
It is used to determine the relationship between
one input variable and output variable . It
is used for prediction of continuous variables.
Classification
Classification is the process of grouping of
objects and ideas into preset categories.
Classification is a form of pattern recognition.
One of the most common applications of
classification is for filtering emails into
spam or non-spam, used by email service
providers.
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Unsupervised Learning

• In unsupervised learning , we not used any
  labelled parameters and focus on discovering
  hidden structures from unlabeled data to help
  systems. Unsupervised learning further divideed
  into 2 categories
• Clustering
• Association

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Clustering
Clustering ia collection of objects into clusters
with similarities in one group and with no
similarities in different group
Association
It is the method of determining the relationship
between different variables in the database.
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Reinforcement Learning
Reinforcement Learning is different from
supervised learning unsupervised learning. We
can say that it is a process of trial and error
finally delivering results. In this learning
agent automatically learns with experience
without any label data.
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Computer Vision
Using computer vision technology we drive
decisions using contextual image data.The main
goal of computer vision technology user can
easily interpret higher level concepts by the use
of raw image.
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Neural Networks
Neural Network is also called deep neural network
.It consists of at least 3 layers of
neurons-input layer, hidden layer, output layer.
Neural network is tool used in many different
machine learning algorithms to process data
input that machines can easily understand.
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Predictive Learning
Predictive analytics use techniques including ML,
predictive modelling and data mining to predict
future results. In predictive machine learning we
analyze the historical data to find patterns and
behaviours.
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Data Mining
Data mining helpful in extracting information
from large amount of data for predicting the
results on a certain data. The softwares used in
data mining -clustering segmentation software,
classification, association, text analysis,
statistical analysis.
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