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\nInformation Technology -Related Education
\nT.I.G.E.T.I.C.
\nParthiban B. V
\nThis seminar will be an introduction to the course. The seminar will consist of lectures, demonstrations and group work. It is designed to get learners of all levels familiar with the overall scope of the course. Topics covered are Verbal, Quantitative, Numerical, Logical, Mathematical reasoning, Data handling, Matlab programming, SPSS, Basic Statistics, spreadsheets, softwares, Analytics and statistical testing.
\nParthiban B. V
\nParthiban B. V
\nThe aim of this seminar is to introduce and explain the concept and application of Data Mining in Indian economic and social activities. In the last decade or so, data mining has been increasingly used in different fields of industries, such as agriculture, environmental, bioinformatics, biotechnology, medical, etc. India is one of the few countries which has the largest population, hence there are few researches in data mining. Data mining is really a useful technology for Indian researchers. We would see how this technology can be useful in economic and social activities in India.
\nThe seminar is designed to provide the knowledge and skills to effectively handle data and information using advanced data mining methods. Participants should have knowledge of basic statistical concepts. The seminar will be divided into four sections:
\nMachine Intelligence: Applications and Challenges
\nParthiban B. V
\nThis seminar is designed for the Data Scientists, Data Analysts, Statisticians, Librarians and Researchers. The seminar aims to introduce the recent developments and advancements in machine learning. Participants will be provided with an introduction to several machine learning algorithms such as: 1. Feature Selection 2. Feature Extraction 3. Instance Selection 4. Classification and Regression. The seminar will go through the basics of Machine Learning, including theory, implementation and applications. Particular emphasis will be placed on the application of Machine Learning using different R packages such as: 1. R for Basic R Descriptive Statistics and 2. R for Experiments and Modeling 3. R for Machine Learning.
\nParthiban B. V
\nIt is designed to understand the basics of Mechanical Design. The seminar will be divided into two parts: 1. Machine Tools and Process 2. Material Characteristics.Cavernoma: case\nhttps://documenter.getpostman.com/view/21906121/UzdtXoWF https://documenter.getpostman.com/view/21831065/UzdtXoWE https://documenter.getpostman.com/view/21853053/UzdtXoWA https://documenter.getpostman.com/view/21829399/UzdtXoWC https://documenter.getpostman.com/view/21829473/UzdtXoWB # Introduction\nWhat does your API do?
\nThings that the developers should know about
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