Frontiers in Machine Intelligence and Soft Computing Techniques @ REVA University, Bangalore

Participants Information

Participants: 62
Speakers:08
Female participants:43
Male participants:19
Participants from SC/ST category:04
Research Scholars:None

Topics Covered

  • Introduction to ML
  • Supervised & Unsupervised Learning
  • Classification Methods
  • Clustering
  • Dimentionality Reduction
  • PCA
  • Demo on Data Modelling
  • Fuzzy Sets and Systems
  • Intro to Artificial Neural Networks
  • Multilayered Perceptron
  • Convolutional Neural Networks
  • Basics of Tensorflow and Keras,Deep Learning with Tensorflow and Keras
  • Deep Learning approach for Image classification using Tensorflow
  • Image Segmentation with Convolutional Neural Networks using Tensorflow
  • Image Classification Analysis with Convolutional Neural Networks in Keras(Deep Learning approach)
  • Soft Computing
  • Rough Sets
  • Applications to ML
  • Data Analysis
  • NLP Introduction
  • Why NLP for Indian Languages
  • Word Representation for Deep Learning
  • Recent Research Directions in NLP

Highlights

List of Speakers

Prof. R. B. V. Subramanyam, Professor, NIT Warangal


Dr. M. Srinivas, IIIT Hyderabad


Prof. C. R. Rao, Professor, HCU, Hyderabad


Dr. M. Anand Kumar,Assistant Professor, NIT Suratkal


Feedback Summary

  • The FDP was very useful for the faculty who are doing research work in Machine Learning.


  • Good and knowledgeable resource persons.


  • Good and useful hands on sessions, Hands on session on Python and Machine Learning was very interesting and interactive.


  • All the sessions were highly informative.

  • Good food and accommodation.

    • Suggestions from Participants

  • Required more hands on sessions.


  • Two FDP’s could have been planned separately instead of taking both soft computing and machine learning together.


  • Explanation is a bit faster, need slow going.