Machine Learning & Artificial Intelligence @ Sphoorthy Engineering College, Hyderabad

Participants Information

Participants: 40
Speakers:08
Female participants:16
Male participants:24
Participants from SC/ST category:NIL
Research Scholars:NIL

Topics Covered

  • Introduction to Machine Learning
  • Installation of Anconda IDE, NUMpy, open CV, MATPLOT LIB, SCIKIT
  • Introduction to PYTHON Installation and exercises
  • Linear algebra using numpy and pandas library
  • Regression Analysis
  • Image processing with python and open CV
  • Back Propagation and Hyper-parameter tuning
  • K-Means Clustering Algorithms
  • Applications of CNN in image processing
  • Recurrent Neural Networks
  • Applications of RNN to speech processing
  • Sentiment Analysis
  • Introduction to Deep neural networks-I
  • Applications of DEEP neural networks to computer vision
  • Hardware implementation of Machine learning algorithms on R Pi
  • Deep Neural Networks
  • Applications of Deep Neural Networks

Highlights

List of Speakers

Dr. J. Ravi Kumar, Associate Professor, NIT Warangal
Mr. AB. Ahadit, CDAC, Pune
Dr. Chandrasekhar Yammani, Assistant Professor, NIT Warangal
Dr. K. V. Kadambari, Assistant Professor, NIT Warangal
Dr. Anil Kumar Vuppula, Assistant Professor, IIIT Hyderabad
Dr. I. Earnest Paul, Assistant Professor, NIT Warangal
Mr. Arpit Yadav, Assistant Professor, SVVV, Indore
Dr. Rama Krishna Sai Gorthi, Associate Professor, IIT Tirupati

Feedback Summary

  • Excellent practical sessions on python.

  • Every lecture was good and motivational.

  • The workshop gave good knowledge and strength with much informative sessions to faculty and research scholars.
  • Suggestions from Participants

  • Required more time for lab sessions.

  • Required detailed explanation about python programming.