Devi Ahilya Vishwavidyalaya, Indore: Session 2018 - 19
Devi Ahilya Vishwavidyalaya, Indore: Session 2018 - 19
Devi Ahilya Vishwavidyalaya, Indore: Session 2018 - 19
Session 2018 - 19
Statistics
Statistics is the analysis and presentation of numeric facts of data and it is the
core of all data mining and machine learning algorithm. It provides analytical
technique and tools to apply on large volume data sets. Statistics
include planning, designing, collecting data, analyzing, drawing meaningful
interpretation and reporting of the research findings and due to this statistics is
not only limited to a mathematician, business analyst are also using it. To get
the desired output or quantify data statistics uses probability, designing surveys
and experiments.
Machine learning
Data mining uses many machine learning methods, but often with a slightly
different goal in mind. On the other hand, machine learning also employs data
mining methods as "unsupervised learning" or as a pre processing step to
improve learner accuracy.
In most of the cases now data mining is used to predict the result from
historical data or find a new solution from the existing data. Most of the
organization uses this technique to drive the business outcomes. Where
machine learning techniques are growing in the much faster way since it
overcomes the problems with what data mining techniques have. Since
Machine learning process is more accurate and less error prone when compared
to data mining and it is much more capable to take his own decision and resolve
the issue. But to drive the business still, we need to have data mining process
because it will define the problem of a particular business and to resolve such
problem we can use machine learning techniques. In one word we can say that
to drive a business both Data mining and Machine learning techniques have to
work hand to hand, one technique will define the problem and other will give
you the solution in the much accurate way.
Information Retrieval