Machine Intelligence & Soft Computing @ College of Engineering (A), Andhra University, Visakhapatnam

Participants Information

Participants: 49
Speakers:07
Female participants:18
Male participants:31
Participants from SC/ST category:12

Lab Sessions

  • Decision Trees
  • Clustering - K - Means
  • SGO Methodology and its applications
  • Deep Learning

Topics Covered

  • Introduction to Data Mining and Its Applications
  • Visualization Methods
  • Linear Regression and Logistic Regression
  • Decision Trees and Applications
  • Support Vector Machines
  • Bayesian Regression Techniques & Applications
  • Clustering - K - Means
  • Data Reduction Techniques
  • Ensemble Methods
  • Introduction to Soft Computing
  • Neural Networks
  • Introduction to PSO and DE Techniques
  • SGO Methodology and its applications
  • Deep Learning

Highlights

List of Speakers

Prof. T. V. Rajinikanth Professor, Sreenidhi Institute of Science and Technology

Dr. R. B. V. Subramanyam, Associate Professor, NIT Warangal

Prof. N. B. Venkateshwarlu, Professor, GVP College of Engineering for Women, Visakhapatnam

Prof. V. Kamakshi Prasad, Professor, JNTUH, College of Engineering, Hyderabad

Prof. Suresh Chandra Satapathy, Professor, PVP Siddhartha Institute of Technology, Vijayawada

Prof. Chakravarthi Bhagavathi, Professor, University of Hyderabad, Hyderabad

Prof. D. V. L. N. Somayajulu, Chair, E & ICT Academy, NIT Warangal

Feedback Summary

  • FDP was very useful to the participants who are aspiring for Ph.D.

  • Resource persons are the major strength of the programme.

  • All the applications were clearly explained.

  • FDP covered all the basic and advanced topics related to Machine Intelligence and Soft Computing.

    • Suggestions from Participants

  • Knowledge about basics is required before each session especially for mathematical concepts.

  • More hands on sessions are required.