DATA ANALYTICS AND TEXT MINING

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Presentation transcript:

DATA ANALYTICS AND TEXT MINING AKSHAYA P S EC S3 ROLL NO 10

Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain

Why Big Data important ? Cost reduction Faster,better decision making New product and services

Data Analyst Collect , process and perform statistical Analysis of data

JOB SKILLS AND REQUIREMENTS Analytic skills Communication skills Critical thinking Attention to details Math skills Technical skills

HADOOP Apache Hadoop is an open source Software for distributed processing Of very large data sets on computer sets built from commodity hardware

MALLET TOPIC MODELING Topic models provide a simple way to analyze Large volumes of unlabeled text MALLET MALLET is a java based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction and other machine learning applications to text

TOPIC 10 DATA MINING AND MACHINE LEARNING ALGORITHMS K-MEANS Support Vector Machines(SVM) ApriorI Expectation Maximization PageRank AdaBoost K-Nearest Neighbors Naïve Bayes Classification and Regression Tree(CART)

APPLICATION Service providers Retail E-commerce Supermarket Crime agencies

THANK YOU