IEEE Technical Workshop: Artificial Intelligence and Machine Learning

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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

Dates29th 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

  Location

  Hosts

  Registration



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  • Sreenidhi Institute of Science and Technology
  • Yamnapet, Ghatkesar
  • Hyderabad, Andhra Pradesh
  • India 501301

  • Contact Event Host
  • 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






Agenda

  1. Introduction to Artificial Intelligence
  2. Working with Fuzzy Logic Algorithm
  3. Getting Started with Fuzzy Logic in MATLab
  4. Problem Formulation, Defuzzication and Rulebase
  5. Working with Fuzzy Logic in Simulinx
  6. Introduction to Machine Learning
  7. Applications of Machine Learning
  8. Artificial Intelligence and Machine Learning
  9. Database Mining and Machine Learning
  10. Supervised Learning Introduction and Examples
  11. Introduction to Dynamic Neural Network
  12. Neural Networks Blocks in Simulink
  13. Working with Genetic Algorithm
  14. Implementing GA with Matlab
  15. Case Study : Cancer Detection, Character recognition, IRIS Clustering, Intelligent Washing Machine Design
  16. Case Study : 8 Queens Problem solver


Conducted and driven by IEEE Computer Society -SNIST SB in association with HT India Labs