Activity: Talk or presentation types › Invited talk
About the Course:
The STC aims to provide a mathematical understanding of various Machine learning classification, detection, tracking and optimization methods. • To make participants familiar with commonly used tools and models for Machine learning classification, detection, tracking and optimization. • An overview of the experimental flow visualization and implementation techniques for IoT and different engineering problems. • To acquaint the participants with the use of basic qualitative and quantitative research techniques and data analysis tools.
EXPECTED COURSE TOPICS: • Introduction to Machine Learning, Deep Learning. • Soft computing, and Optimization Techniques. • Basics of AI, Introduction to ANN, Linear Regression. • Decision Trees, Support Vector Machines. • Image Processing with OpenCV. • Deep Learning Networks: Introduction to Tensor Flow. • Convolutional Neural Networks and its Application to Classification, Detection and Tracking Problems. • Machine Learning Model Optimization. • Introduction to Optimization techniques. • Novel meta-heuristic algorithms machine learning and advance computing.