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