March 1 - 2, 2018

Tutorial : 2nd March 9:00 am to 1:00pm

Topic: Machine Learning - Algorithms and Implementation approaches

Preferred Participants: Computer Science and Mathematics Research Scholars and teachers. Final year Masters students can also attend

Purpose: To teach the various Machine Learning approaches and algorithms

Machine learning and Algorithms

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Dr. Xavier

Vice President

Dr. Xavier is a Vice President and head of Artificial Intelligence based Automation thought Leadership in Capgemini.

He is an experienced Industry Leader in Automation with Artificial Intelligence, Machine Learning, NLP, Robotic Process Automation and Blockchain. He has implemented Artificial Intelligence platform for various customer engagements. He is a Speaker in international forums such as Telemanagement Forum World Conferences held in Singapore, Dubai, USA and South Africa, He has also spoken in Billing/OSS Conference held in Washington DC, and Software Engineering World conference hwld in Melbourne, Australia.He has a Ph. D. degree in Computer Science / Parallel Algorithms got under the guidance of Dr. G. Arumugam. He is the author of ten Computer Science text books published by leading international publishers McGraw Hill, John Wiley & Sons and New Age International.

Content:

Time Content
9.00 am to 9.30 am 1. Introduction Machine Learning implementation platforms: IBM Watson and Bluemix, Google TensorFlow Tools and platforms
9.30 am to 10.15 am 2. K-Nearest Neighbor, Linear Models for Regression
10.30 am to 11.15 am 3. Perceptron, Logistic Regression, Decision Trees
11.15 am to 12.00 noon 4. Naive Bayes Classification Algorithms
12.15 pm to 12.45 pm 5. Neural networks, Clustering, Association Rules
12.45 pm to 1.00 pm 6. Concluding remarks