The Role of Linear Algebra in Machine Learning, Artificial Intelligence & Data Science

29 Nov 2021 - 03 Dec 2021 | Organized by: Departments of M&H, CSE & IT MGIT Website  | Registration Form  | Brochure

The FDP aims at familiarizing young engineers and teaching faculty from institutions of engineering and technology in the upcoming fields of machine learning, artificial intelligence and data science and the role of linear algebra in their study.

  • Linear algebra is a branch of mathematics, which is the mainstay of almost all the areas of mathematics.
  • Linear algebra is the foundation of machine learning-from the notations used in describing the algorithm to the implementation of the algorithm itself. Artificial intelligence is not magic, it’s just mathematics.
  • It depends on innovative, futuristic and revolutionary mind, well versed in linear algebra.
  • Linear algebra incorporates the inputs on learning issues. Resource persons advisors’ convenors co-convenors
  • A dataset is frequently and conveniently represented as a matrix. Linear algebra is used in data science to preprocess the data, transformation of the data and its evaluation. Thus, linear algebra becomes the fulcrum in the study of data science

Venue:

  • Location MGIT, Hyderabad

FDP Guidelines:

  • Faculty development program platform: Cisco Webex
  • After submitting the Google form for participant registration for the FDP, Whatsapp Link will be provided.
  • All the registered participants for the FDP must join the Whatsapp group for receiving FDP meeting links and any other information regarding FDP.
  • Attending all the sessions and submission of feedback cumattendance form by participants is mandatory.
  • Feedback cum attendance link will be shared in the chat boxat the end of the session.
  • E-Certificate will be provided to all the registered participants who attend all the sessions and submit day wise feedback cum attendance forms at the end of each session.
  • The last date for registration is on or before 28 November 2021

Resource Persons:

  • Dr. R.S. Hegadi, Dean – School of Computer Sciences, Central University of Karnataka
  • Dr. Debasis Sengupta, Dean of Studies, Indian Statistical Institute
  • Dr. Bapi Raju,Professor, IIIT, Hyderabad
  • Dr. Montaz Ali, University of Witwatersrand, Johannesburg
  • Dr. V.V.Haragopal, BITS, Hyderabad
  • Dr. Xin-She Yang, Middlesex University, UK
  • Dr. Seetha Hari, VIT-AP University
  • Dr. Suresh Kumar, Manav Rachna International University, Faridabad, Haryana
  • Dr. Srinath Kannan, IIIT, Hyderabad
  • Dr.Hanumanthappa.M Professor & Chairman, Department of Computer Science & Applications, Bangalore University

Advisors:

  • Sri. J. Syamsunder Reddy, Chairman, CBES
  • Mr. J. Pratap Reddy, Secretary & Correspondent, MGIT
  • Prof. K. Jaya Sankar, Principal, MGIT

Convenor:

  • Prof. M.V.Ramana Murthy, HoD, M&H Prof. C.R.K. Reddy,
  • HoD, CSE Prof. D. Vijaya Lakshmi, HoD, IT

Co-Convenor:

  • Dr. S. Raji Reddy, Professor, M&H
  • Dr. C. Haritha, Asst. Professor, M&H
  • Dr.S. Aruna, Asst. Professor, M&H
  • Dr. G. Balreddy, Asst. Professor, M&H
  • Dr. V. Subba Ramaiah, Asst. Professor, CSE
  • Dr. B. Prasanthi, Asst. Professor, CSE
  • Ms. U. Chaitanya, Asst. Professor, IT
  • Ms. N. SreeDivya, Asst. Professor, IT

Telegram/WhatsApp group:

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