PDP on AI & ML in Engineering Applications
Expert faculty members in the domain of AI delivered lectures on different topic of ML. Dr. Sandhya (Professor, CSE), Dr. D Srinivasa Rao (Assistant Professor, IT), Dr. G Madhu (Associate Professor, IT), Dr. A Kousar Nikhath (Assistant Professor, CSE) and Mr. P Anudeep (Assistant Professor, ECE) were the resource persons for 5 different days.
To equip the faculty with better knowledge right from the basics of Machine Learning and Artificial Intelligence for Engineering Applications for a period of 5 days, CSE, IT and ECE Department of VNR came up with this Professional Development Programme (PDP). Expert faculty members in the domain of AI delivered lectures on different topic of ML. Dr. Sandhya (Professor, CSE), Dr. D Srinivasa Rao (Assistant Professor, IT), Dr. G Madhu (Associate Professor, IT), Dr. A Kousar Nikhath (Assistant Professor, CSE) and Mr. P Anudeep (Assistant Professor, ECE) were the resource persons for 5 different days.
ABOUT THE EVENT:
Around 170 participants registered for this Professional Development Programme from different colleges and locations and each session was enriching.
Day-1:
On day 1 (8th June), An Introduction Session on Artificial Intelligence and Machine Learning, was given by Dr. D Srinivasa Rao. He gave a brief about Artificial Intelligence and discussed the different domains of ML and also talked about Regression and Classification.
Day-2:
On day 2 (9th June), Dr. G Madhu discussed the importance of data to train Machine Learning Models and covered Data Preprocessing, Dimensionality Reduction, Missing Values, which are necessary steps taken to prepare data into Machine Understandable format. Activities regarding those topics were performed on Google Colab, an IDE to write and execute Python 3 Notebooks, which is used extensively for developing Machine Learning Applications.
Day-3:
On day 3 (10th June), Dr. A Kousar Nikhanth discussed the Regression Method, along with a case study on the same. The Regression Algorithms for implementation and the purpose of Regression in the given application were covered in the case study.
Day-4:
On day 4 (11th June), Classification Methods in Machine Learning were taught by Dr. N Sandhya, and Decision Trees which is a popular and widely used ML Algorithm for Classification of data samples was extensively discussed by Dr. G Madhu.
Day-5:
On day 5 (12th June), Mr. P Anudeep explained about the Unlabelled Data, why and how Unsupervised Learning comes into picture, using unlabelled data to train ML Models. Various applications of Unsupervised Learning, and challenges with the same, were covered in the Session. Last but not least, Deep Learning was also covered, where Autoencoders were discussed, and minimization of Error Score was taught by making ML models learn on lower-dimensional encoding of data.
Date and Time
Location
Hosts
Registration
- Start time: 08 Jun 2020 10:00 AM
- End time: 12 Jun 2020 01:00 PM
- All times are (UTC+05:30) Chennai
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- Hyderabad, Andhra Pradesh
- India
- Contact Event Host
-
kumartharun435@gmail.com
- Co-sponsored by VNR CS SC, ACM
Speakers
Dr. D Srinivasa Rao
Introduction to Machine Learning
On day 1 (8th June), An Introduction Session on Artificial Intelligence and Machine Learning, was given by Dr. D Srinivasa Rao. He gave a brief about Artificial Intelligence and discussed the different domains of ML and also talked about Regression and Classification.
Biography:
Assistant Professor, IT, VNRVJIET
Dr G Madhu
Building Machine Learning Models
On day 2 (9th June), Dr. G Madhu discussed the importance of data to train Machine Learning Models and covered Data Preprocessing, Dimensionality Reduction, Missing Values, which are necessary steps taken to prepare data into Machine Understandable format. Activities regarding those topics were performed on Google Colab, an IDE to write and execute Python 3 Notebooks, which is used extensively for developing Machine Learning Applications.
Biography:
Associate Professor, IT, VNRJIET
Agenda
To equip the faculty with better knowledge right from the basics of Machine Learning and Artificial Intelligence for Engineering Applications for a period of 5 days, CSE, IT and ECE Department of VNR came up with this Professional Development Programme (PDP).
Throughout the 5 days, all the necessary information and skills were taught, which are very useful to work on various applications of AI and ML in Engineering Projects, both major and minor ones. This Professional Development Programme will be helpful even for those who want to gain a thorough knowledge about this domain, and wish to make their career in the same.
Media
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