Application of Machine Learning and Deep Learning in Engineering Problems

PANDEY, H. M. (Speaker)

Activity: Talk or presentation typesInvited 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.

• 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.
Period26 Oct 202030 Oct 2020
Held atNational Institute of Technology Srinagar, India
Degree of RecognitionInternational