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
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.
|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|