Description
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.
Period | 26 Oct 2020 → 30 Oct 2020 |
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Held at | National Institute of Technology Srinagar, India |
Degree of Recognition | International |