SDC- Machine Learning with Applications to Object Recognition - Six Day Faculty Empowerment Programme - Anna University , MIT Campus

 The Department of Computer Technology Anna University Madras Institute of Technology Campus Chrompet, Chennai – 600044 has organized the Physical Mode- Six Day Faculty Empowerment Programme on SDC- Machine Learning with Applications to Object Recognition, Sponsored by Centre for Faculty & Professional Development, Anna University Chennai-25  on 19th – 25th January 2023  

Aim : 

To provide opportunity for faculty members from University Departments , Constituent colleges , Regional offices , Government colleges and Engineering colleges affiliated to Anna University to enrich their knowledge in the area of Machine Learning . 

Topics: 

  1.  What is Artificial Intelligence in Practice  
  2. Operations in Pandas,  
  3. Learning with Naïve Bayes, SVM, Tree, Ensemble Learning with implementation  
  4. Neural Networks, Multi-layer Perceptron Implementation on Perceptron and MLP with tensorflow and keras 
  5. Dimensionality Reduction techniques, Reinforcement Learning with hands on. 
  6. Deep learning Techniques CNN – RNN

Registration Details : 

  1. No Registration fee for this FEP 
  2. The candidates will be selected on first come first serve basis 
  3. Priority will be given in the order of Junior Faculty, Assistant Professor, Associate Professor and Professor 
  4. Number of participant is restricted to Fifty (50)

Interested persons are requested to fill up the registration form in the prescribed format and send it to the address given below . 

  • The Coordinators 
  • SDC- Machine Learning with application to object recognition 
  • Dept. of Computer Technology 
  • MIT Campus, Anna University 
  • Chrompet, Chennai – 600 044 
  • Phone: 044-22516231 / 6232 
  • E-mail: kathiroli@mitindia.edu

Dates to remember : 

  1. Last date for submission of application : 10/01/2023 
  2. Intimation of selection : 11/01/2023 
  3. Confirmation by the participant : 12/01/2023 
  4. Event : 19/01/2023 To 25/01/2023 

 Click here for more information 

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