Lecture on “Eigen Values and Eigen Vectors” & “Singular Value Decomposition”

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On 23rd June 2020, Dr G. Sireesha(Asst. Prof, Dept of Math) delivered a lecture on the topic “Eigen Values and Eigen Vectors” and T. Kusuma(Asst. Prof, H & S) delivered a lecture on the topic “Singular Value Decomposition”.

 

  • Dr G. Sireesha started the lecture by introducing the students to the concept of Eigen Values and Eigen Vectors and how to calculate them.
  • She explained how Google’s page rank algorithm uses Eigen Vectors to assign ranks to webpages.
  • She then explained the importance of these topics in various engineering fields and showed us some examples like the Tacoma Bridge Collapse or Designing a Car Stereo System.
  • She also explained their uses in how Netflix uses Singular Value Decomposition and then handed over the lecture of Ms T. Kusuma.
  • Ms T. Kusuma then continued to expand on the topic of Singular Value Decomposition.
  • She explained how to calculate it and various applications of SVD.
  • She showed us how it’s used in Image Processing and Image Compression.

  Date and Time

  Location

  Hosts

  Registration


  • Date: 23 Jun 2020
  • Time: 02:00 PM to 04:00 PM
  • All times are (GMT+05:30) Asia/Calcutta
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  • Hyderabad, Andhra Pradesh
  • India
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  Speakers

Dr G Sireesha of VNR Vignana Jyothi Institute of Engineering and Technology

Topic:

Eigen Values and Eigen Vectors

Biography:

Assistant Professor, Department of Mathematics, VNRVJIET

Mrs T Kusuma of VNR Vignana Jyothi Institute of Engineering and Technology

Biography:

Assistant Professor, Dept. of H&S, VNRVJIET





Agenda

The goal of the lecture was to familiarise the participants with the basic mathematical concepts frequently used in the field of Machine Learning such as Eigen Values/ Eigen Vectors and Singular Value Decomposition and provide a strong foundation for the upcoming lectures.

 


About 45 people attended the Webinar and it helped the participants better understand the basic mathematical foundations of Machine Learning. The session was interactive and the speakers were very enthusiastic and encouraged students to ask and clarify their doubts.


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