Faculty Development Program

Faculty development program on Machine Learning Techniques- 3 to 5 days. List of topics covered are given below:
  • Naïve Bayes Classifier Algorithm
  • K Means Clustering Algorithm
  • Support Vector Machine Algorithm
  • GA, PSO, ACO, BCO and BFOA
  • Linear Regression
  • Logistic Regression
  • Artificial Neural Networks
  • Random Forests
  • Decision Trees
  • Nearest Neighbors
Faculty development program on “ Research Methodologies”- 2 to 3 days
  • Introduction to research
  • Research methods or designs
  • Data collection techniques
  • Sampling methods
  • Analysis methods
  • Hypothesis testing techniques
  • Exercises
Faculty development program on “ Soft Computing”-2 to 5 days
  • Evolutionary Algorithms in sequential environment
  • Evolutionary Algorithms in parallel environment
  • Swarm Intelligence algorithms
  • Neural Networks
  • Fuzzy logic
  • Probabilistic and non-probabilistic algorithms
  • Heuristic Algorithms

Do you want to expedite your research work?


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