ML Webinar Series (6)- Clustering
Mrs. Y. Padma Sai (Head of the Dept., ECE, VNRVJIET) was the resource person of the day and she delivered a lecture on the topic – “Clustering”. This
helps the students to detect patterns when they don't recognize anything manually.
The speaker has started the discussion with the introduction of the topic, Machine Learning, and explained different Machine Learning algorithms.
Then, the topic-” UnSupervised Learning” was explained saying that it was a method dealt with the data without any specific labels.
Major clustering approaches like the Partitioning approach, Hierarchical approach, and Density-based approach were discussed and methods to implement those approaches were also stated.
Different Clustering Applications in the practical scenario were also discussed and this kind of practical approach seems very interesting to the
participants.
Date and Time
Location
Hosts
Registration
- Date: 01 Jul 2020
- Time: 02:00 PM to 04:00 PM
- All times are (UTC+05:30) Chennai
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- Hyderabad, Andhra Pradesh
- India
Speakers
Dr. Y. Padma Sai
Clustering in Machine learning
Dr. Y. Padma Sai of Dept. Electronics and Communication Engineering, VNR VJIET
Biography:
Mrs. Y. Padma Sai has a teaching experience of more than 20 years and research experience of 11 years. She is also an industry-oriented person of experience over 5 years.
Email:
Agenda
The lecture was aimed at making the participants understand the method of Unsupervised learning which involves the process of clustering. With the idea of this clustering, one can detect the patterns of data without any labels.
About 35 people have attended the Webinar. It was a wonderful session with a sufficient idea of topics dealt with in this short duration. The speaker has explained every clustering approach along with the realtime examples. That was a good interactive and informative session
Media
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