Summer School of Data Science 2018- July 05 to July 07 at UIU

About Summer School of Data Science

 

Summer School on Data Science is a three day long foundation program on methodologies, issues and problem solving techniques in data science and machine learning. The sessions are facilitated by top academic experts in the area with long time experience in solving industrial and research problems in data science.

Research Problems

Hand on Training

Tools & Datasets

Professional Networking

Student

Academic

Professional

THE SCHEDULE

Session 1: Introduction to Supervised Learning

by Prof. Dr. Chowdhury Mofizur Rahman

Session 2: Neural Networks and Deep Learning

by Prof. Dr. Mohammad Nurul Huda

Session 1: Ensemble Learning

by Dr. Dewan Md. Farid

Session 2: Kernel Methods

by Dr. Swakkhar Shatabda

Session 1: Big Data

by Prof. Dr. Hasan Sarwar

Session 2: Machine Learning Applications

by Dr. Khondaker A. Mamun

Frequently Asked Questions

What is SDS?

Summer School on Data Science is a three day long foundation program on methodologies, issues and problem solving techniques in data science and machine learning. The sessions are facilitated by top academic experts in the area with long time experience in solving industrial and research problems in data science.

Is this event for me?

Are you a data science enthusiast? Are you eager to learn the practical issues and solving techniques in data science? Are you interested to get involved in  data science research? If answer of any of these are yes, this program is for you.

How can I register for the event?

If you want to perform registration online, click here: http://sds.uiu.ac.bd/registration/

For offline registration please contact Department of Computer Science and Engineering, United International University.

Do I have to participate all 3 days?

It’s a three days program. All the sessions are designed to give you a foundation on data science and related methods. As a data science enthusiast you should participate all three days.

ORGANIZED BY

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SUPPORTED BY

LETS GATHER TOGETHER

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