Half-Day Seminar on “Data Analytics and Machine Learning ” By Dr. Biplab Sikdar

24 January 2019, Thursday 
12.30pm – 5.30pm
Venue: National University of Singapore

Seminar Description:

This course covers the fundamentals of data analytics and machine learning. It will start with the fundamentals of analytics such as Bayesian statistics, classification, supervised learning, and unsupervised learning. The course will also introduce the participants to basic machine learning algorithms such as decision trees, support vector machines, and neural networks. The course will be hands-on with an emphasis on practical applications where real-life examples will be demonstrated using Python code.

Learning Objectives

This course will introduce the participants to the fundamentals of data analytics and machine learning. The topics covered will include: decision trees, Bayesian classification, regression, support vector machines, neural networks, and unsupervised learning techniques such as k-nearest neighbor. The participants will also be exposed to methodologies to evaluate the effectiveness of these techniques. The course will introduce the participants to the use of Python for data analytics and machine learning.

Learning Outcomes

1) Be familiar with the basics of data analytics and machine learning
2) Be able to formulate and use appropriate models of data analysis to obtain insights into problems
3) Be able to select appropriate models of analysis/learning, assess the quality of input and output, and investigate potential issues.
4) Be able to think critically in making decisions based on data and analytics.

Who Should Attend

The target audience for this course are professionals who wish to gain familiarity and understanding of the important ideas in data analytics and machine learning. The course is also targeted at professional who want an exposure to the tools to get started in data analytics and machine learning.


1) Decision Trees
2) Bayesian classification
3) Regression
4) Support vector machines
5) Neural networks
6) Unsupervised learning

Seminar Fees

Non MDTS Alumni : SGD428.00 per pax (including GST)

Instructor’s Profile

Biplab Sikdar is an Associate Professor in the Department of Electrical and Computer Engineering at the National University of Singapore where he is the Area Director for the Communications and Networking group and leads the cyber-physical system research group in the NRF funded corporate research laboratory with Singtel. His research on cyber-security focuses on security protocols for IoT systems, attack detection mechanisms for cyber-physical systems, and network security, and his work is funded by the National Research Foundation (Singapore), Singtel, Microsoft, New York Power Authority, and the National Science Foundation (USA).

Enquiry and Registration
Please contact Ms Queenie Sim at tdsskeq@nus.edu.sg or +65 6516 5838 for more information.

Please refer here for more information.