The Department of Computer Science, Amrita School of Engineering, Amritapuri Campus, conducted a one week National Workshop on Machine Learning and BigData during June 6 - 10, 2016. The workshop intends to bring together the Faculty Members and Research Scholars working in the area of Machine Learning and BigData. We got an eminent group of resource persons to enlighten the participants. Resource persons include:

  • Dr. M.R. Kaimal, Chairperson, Department of Computer Science, Amrita School of Engineering, Amritapuri
  • Dr. Raghu Raj, Principal College of Engineering Trivandrum
  • Dr. Soman K. P., Amrita School of Engineering, Ettimidai
  • Dr. Ramabrahmam, TCS
  • Dr. Sumithra, IIST
  • Mr. Prabaharan Poornachandran, Amrita School of Engineering, Amritapuri
  • Ms. Sandhya Harikumar, Amrita School of Engineering, Amritapuri
  • Ms. Simi S., Amrita School of Engineering
  • Ms. Remya Rajesh, Amrita School of Engineering

50 Participants got registered for the workshop.

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable range.


 To expose the Faculty/ Research Scholars/ Students in emerging technologies in the areas of Data Science & analytics. This workshop provides practical foundation level training that enables immediate and effective participation in Big data And Data Science and other Analytics projects. This data science course is an introduction to machine learning and algorithms. Participants will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.


This workshop will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. attendees, at the end of this workshop, will be technically competent in the basics and the fundamental concepts of Machine Learning such as:

  • Understand components of a machine learning algorithm.
  • Apply machine learning tools to build and evaluate predictors.
  • How machine learning uses computer algorithms to search for patterns
  • How to uncover hidden themes in large collections of documents using topic modeling.
  • How to use data patterns to make decisions and predictions with real-world examples


Program Schedule

Day 1: 06-06-2016


9:30 am – 11:00 am Inauguration
11:00 am – 11:15 am Tea Break
11:15 am – 12:00 pm Introduction to Machine Learning
12:00 pm – 1:30 pm Lunch Break
1:30 pm – 3:00 pm Applications of Machine Learning
3:00 pm – 4:00 pm Tea and Refreshments

Day 2: 07-06-2016


9:30 am – 11:00 am Session by Dr.Soman K.P on Optimization
11:00 am – 11:30 am Tea Break
11:30 am – 1:00 pm Techniques on Optimization
1:00 pm – 2:00 pm Lunch Break
2:00 pm – 4:00 pm Hands-on Session by Dr.SomanK.P
4:15 pm – 4:30 pm Tea and Refreshments

Day 3: 08-06-2016


9:30 am – 4:00 pm Hands-on Session by Dr. Ramabrahmam, TCS

Day 4: 09-06-2016


9:30 am – 4:00 pm Hands-on Session by Dr. Sumitra, IIST on Framework on Kernel Methods

Day 5: 10-06-2016


9:30 am - 12:30 pm Session on NLP for Text Mining: Opportunities and Challenges by Dr. P.C Reghu Raj.
1:30 pm - 4:30 pm Session on Information Extraction from Text Documents by Dr. P.C Reghu Raj.

Event Details
2016-06-06 09:30 to 2016-06-10 17:00
Computer Science
School of Engineering