Artificial Intelligence & Machine Learning @ Institute of Aeronautical Engineering, Dundigal, Hyderabad

Participants Information

Participants: 54
Speakers:06
Female participants:19
Male participants:35
Participants from SC/ST category:12
Research Scholars:None

Topics Covered

  • Introduction to Machine Learning
  • Foundation of Statistics
  • Inferential Statistics
  • Machine Learning Foundations
  • Overview of Neural networks
  • Building Models with keras and Tensorflow
  • Data Visualization
  • Data Management
  • Decision Trees and ensemble Methods
  • Case Studies on AI and ML
  • Re-sampling Methods
  • Linear Model Selection and Regularization
  • Unsupervised Learning (Clustering)
  • Supervised Learning (Classification)
  • Artificial Neural Networks

Highlights

List of Speakers

Prof. C. Raghavendra Rao Professor, UoH, Hyderabad

Dr. Nagesh Bhattu. SAssistant Professor, NIT AP

Mr. R. Phani BhushanADRIN, Hyderabad

Prof. P. Radha KrishnaProfessor, NIT Warangal

Prof. D. V. L. N. Somayajulu,Director, IIITDM, Kurnool

Prof. R. B. V. SubrahmanyamProfessor, NIT Warangal



Feedback Summary

  • Sessions on Big Data were excellent.

  • Conduction of online test by using “Plickers Cards” was appreciated by all the participants.

  • Planning and coordination of the course was good.

    • Suggestions from Participants

  • Require more hands-on experience.