rosdyana

Growth of Machine Learning

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Machine learning is preferred approach to

• Speech recognition , Natural language processing
• Computer vision
• Medical outcomes analysis
• Robot control
• Computational biology
• Sensor networks

rosdyana

#!/usr/bin/Rscript
# Name : Rosdyana Kusuma
# Student ID : s1056035
# mail : [email protected] , [email protected]
# site : rosdyanakusuma.com

# read input data.
dataInput = read.csv("input.csv", header=F , sep=",")

# create confusion matrix.

rosdyana

Supervised

• All data is labeled and the algorithms learn to predict the output from the input data.
• Classification , Regression
• Linear regression and classification , Random forest , Support vector machine , Bayesian, Neural networks

Unsupervised

• All data is unlabeled and the algorithms learn to inherent structure from the input data.
• Clusterring, Association
• K-means , Apriori Algorithm

Semi-supervised

• Some data is labeled but most of it is unlabeled and a mixture of supervised and unsupervised techniques can be used.