1. Optimization using Nature Inspired Algorithm using Python [for PhD, MTech, BTech | One/Two Days]

• Introduction to Optimization.

• Introduction to Nature Inspired Algorithm.

• Type of Optimization Problems.

• Type of Nature Inspired Algorithms.

• Understanding local and global minima/maxima.

• Deal with premature convergence.

• Introduction to Genetic Algorithm.

• Problem Solving using Genetic Algorithm.

• Introduction to Particle Swarm Optimization.

• Problem Solving using Particle Swarm Optimization.

• Other Algorithms: ACO, ABC, DE.

 

 

2. Scientific Writing using LaTeX [for PhD, MTech, BTech | One/Two Days] Most Popular

• Introduction and Installation of LaTeX

• Resume / CV writing.

• Synopsis / Report writing.

• Thesis writing.

• Article writing using Template (IEEE/Elsevier).

• Presentation preparation.

• Miscellaneous: Adding Table, Figures, Equations, Mathematical Expressions and Reference Management.

 

 

3. Machine Learning and Data Mining Using R [for PhD, MTech, BTech | One/Two Days]

• Introduction to Machine Learning & Data Mining.

• Basics of R.

• R and Rattle Installation.

• Working with Rattle.

• Research topics in Machine Learning & Data Mining.

• Useful resources for R and Machine Learning.

• Working with Classification Problem.

• Working with Regression Problem.

• Working with Clustering Problem.

• Paper writing using Machine Learning