College/University/Organization
Name: Coimbatore Institute of Engineering and
Technology
Organizing Department: Department of Computer Science and Engineering
Event Date: 12/02/2016 -- 12/03/2016
(MM/DD/YYYY)
Last Date: 11/27/2016 (MM/DD/YYYY)
Address: Coimbatore, Tamilnadu, India
Registration Fee:
Free of Cost
College/University/Organization
Website: www.cietcbe.edu.in
Event Website / Brochure link: https://goo.gl/forms/6yKBxzQbUltH4CDS2
Email Address: mailtocseciet@gmail.com
About Event:
Data science is deep knowledge discovery through data inference
and
exploration. This discipline often involves using mathematics and algorithmic techniques to solve some of the most analytically complex business problems, leveraging troves of raw information to
figure out hidden insight that lies beneath the surface.
Topics:
Day-1
Basic Statistics for data Science-Various Distributions, Bayesian Classification, Regression Model
Data Preprocessing, Clustering and classifications
Hands-on training using Rapid Miner or ‘R’ Tool
Understand the Analytics using Case Study with data set.
Day-2
Real Analysis Fundamentals Various spaces with examples
o Normed Vector Space, Inner Product Space, Metric Space, Topological Space, Banach Space, and Hilbert Space.
Linear Algebra for Data Clustering Various matrix norms Singular Value Decomposition (SVD) and its geometric meaning
o Closest rank-k approximation, Principle Component Analysis
o Spectral Clustering
o Subspace segmentation problem
o Special case: Motion segmentation problem
exploration. This discipline often involves using mathematics and algorithmic techniques to solve some of the most analytically complex business problems, leveraging troves of raw information to
figure out hidden insight that lies beneath the surface.
Topics:
Day-1
Basic Statistics for data Science-Various Distributions, Bayesian Classification, Regression Model
Data Preprocessing, Clustering and classifications
Hands-on training using Rapid Miner or ‘R’ Tool
Understand the Analytics using Case Study with data set.
Day-2
Real Analysis Fundamentals Various spaces with examples
o Normed Vector Space, Inner Product Space, Metric Space, Topological Space, Banach Space, and Hilbert Space.
Linear Algebra for Data Clustering Various matrix norms Singular Value Decomposition (SVD) and its geometric meaning
o Closest rank-k approximation, Principle Component Analysis
o Spectral Clustering
o Subspace segmentation problem
o Special case: Motion segmentation problem
Who Can Participate?
Students
Ph.D Research Scholars
M.Phil Scholars
Academicians
Those who are interested to learn data science. (From Engineering
and Arts streams)
Ph.D Research Scholars
M.Phil Scholars
Academicians
Those who are interested to learn data science. (From Engineering
and Arts streams)
Accommodation Details:
Yes. But have to pay Rs.200 for Rooms and Food.
Contact Numbers:
Mr. M.Yogesh Prabhu AP/CSE- +91 - 98943 28880.
Mr. V.Kathiresan AP/CSE - +91 - 96598 53297
Contact Numbers:
Mr. M.Yogesh Prabhu AP/CSE- +91 - 98943 28880.
Mr. V.Kathiresan AP/CSE - +91 - 96598 53297
Other Details:
Only 30 Seats are available. Registration based on First Come
First Serve.
Contact Details:
Dr. S. Gunasekaran,
Professor and Head,
Department of CSE,
Coimbatore Institute of Engineering and Technology,
Vellimalaipattinam,
Narasipuram (Po),
Thondamuthur (Via),
Coimbatore - 641 109.
PH: +91 - 98429 28005.
Professor and Head,
Department of CSE,
Coimbatore Institute of Engineering and Technology,
Vellimalaipattinam,
Narasipuram (Po),
Thondamuthur (Via),
Coimbatore - 641 109.
PH: +91 - 98429 28005.
For any clarification about
this event, please contact the above mentioned address.
Two Days
Seminar on Mathematics and Statistics for Data Science-2016-Coimbatore
Institute of Engineering and Technology-Coimbatore-Tamilnadu-India
See Also