IEEE Technical Workshop: Artificial Intelligence and Machine Learning
IEEE Technical Workshop: Artificial Intelligence and Machine Learning
IEEE Technical Workshop: Artificial Intelligence and Machine Learning
" It is not the strongest or the most intelligent who will survive but those who can best manage change. "- CHARLES DARWIN
To keep up with the changing technologies and be at your very best - We present you the perfect platform to learn and gain expertise on the trending hot topics in the world.
���IEEE SNIST presents workshop on ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING in association with HT INDIA LABS on 29th and 30th August.���
Gear up for the most on-demand workshop and learn all about Artificial Intelligence algorithms and its applications besides Machine Learning, Neural Networks and working on these in Matlab apart from various Case Studies of real life applications.
To not miss this wonderful opportunity, register yourself right now - https://docs.google.com/forms/d/e/1FAIpQLScGaLTHbPhXrAoXIHtYu7ddFDdrV4w3aYmqYCf5Hy3Fhz7jJQ/viewform
Dates: 29th and 30th August, 2017
Venue: Sreenidhi Institute of Science and Technology
Fees: 1200/- [Non IEEE] || 900/- [IEEE members]
For any queries, please contact:
Vishnu Varma: 8074882552
Sai Thejeshwar: 8686962216
Conducted and driven by IEEE Computer Society -SNIST SB in association with HT India Labs
Date and Time
- Start time: 29 August 2017 09:00 AM
- End time: 30 August 2017 06:00 PM
- All times are Asia/Calcutta
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Location
- Sreenidhi Institute of Science and Technology
- Yamnapet, Ghatkesar
- Hyderabad, Andhra Pradesh
- India 501301
Contact
- Email event contact
-
Vishnu Varma, IEEE SNIST Student Branch,
Email: p.vishnuvarma@gmail.com
Contact Number 8074882552
Sai Thejeshwar, IEEE SNIST Student Branch, Contact Number: 8686962216
- Co-sponsored by IEEE SNIST Student Branch and India HT Labs
Registration
Agenda
- Introduction to Artificial Intelligence
- Working with Fuzzy Logic Algorithm
- Getting Started with Fuzzy Logic in MATLab
- Problem Formulation, Defuzzication and Rulebase
- Working with Fuzzy Logic in Simulinx
- Introduction to Machine Learning
- Applications of Machine Learning
- Artificial Intelligence and Machine Learning
- Database Mining and Machine Learning
- Supervised Learning Introduction and Examples
- Introduction to Dynamic Neural Network
- Neural Networks Blocks in Simulink
- Working with Genetic Algorithm
- Implementing GA with Matlab
- Case Study : Cancer Detection, Character recognition, IRIS Clustering, Intelligent Washing Machine Design
- Case Study : 8 Queens Problem solver
Conducted and driven by IEEE Computer Society -SNIST SB in association with HT India Labs
