The Department of Mathematics and Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri campus, jointly organize a Faculty Development Program (FDP) on "Demystifying Machine Learning" (DML 2018) from December 10-14, 2018, in association with ACRD (Amrita Center for Research and Development).

Resource Persons

The sessions will be handled by Dr. V. Sugumaran from VIT, Dr. Deepak Mishra from IIST, and experts from Amrita Vishwa Vidyapeetham.


Faculty/Research scholars from Engineering colleges/Universities, professionals from Research Organizations and Industries.
(Number of seats is limited to 50)

About the Department of Computer Science, Amritapuri Campus

The Department of Computer Science offers B. Tech., B.C.A., M. Tech., M.C.A., and Ph. D. programs. The major areas of research comprise Machine learning, Computer vision, Complex networks, and Formal Methods. Research collaboration with Microsoft Research and academic collaboration with Infosys under Campus Connect program enriches the department to keep pace with current industry trends and standards. Students of the Department regularly participate and win prizes in events such as ACM ICPC, The Great Mind Challenge, Aspirations 2020 at Infosys, Sun Code for Freedom, Google Summer of Code, and Capture the Flag.

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About the Department of Mathematics, Amritapuri Campus

The Department of Mathematics has a group of highly experienced and fully dedicated faculty members passionate about Mathematics and its applications. The department offers a Five-year Integrated M.Sc. programme (Mathematics/Physics) that started in 2006 in collaboration with the Department of Physics department. The department also offers Integrated MSc Mathematics with Data Science specialization from 2018 onwards following the current requirements of Big Data Analytics in industries.

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About Amrita Vishwa Vidyapeetham

Amrita Vishwa Vidyapeetham established under section 3 of UGC Act of 1956 offers more than 200 professional programs through 15 schools across 6 different campuses in 3 South Indian states. The world-renowned humanitarian and spiritual leader Sri Mata Amritanandamayi Devi (Amma), known worldwide for Her humanitarian activities and initiatives, is the Chancellor. Amrita Vishwa Vidyapeetham personifies multi-disciplinary academic excellence through the exceptional quality of its education system that is modern and comprehensive, with special emphasis on core human values under the inspiration of Amma.

It has been ranked as the 8th Best university in India as per NIRF ranking, 2018 and graded ‘A’ by NAAC, MHRD. The university has more than 150 international partners. Undergraduate, postgraduate and doctoral programmes are offered in Engineering, Business, Medicine, Dentistry, Pharmacy, Nursing, Journalism, Biotechnology, Information Technology, Arts and Sciences, Health Sciences, Teacher Education, Microbiology, Hospital Management, Visual Media Studies, MassCommunication, Social Work, Nanosciences and Ayurveda

  • Fundamental concepts of Machine Learning
  • Algebraic and Geometric Interpretation of data
  • Density Estimation based Supervised Learning Models
  • Mathematical perspective of Predictive Modelling
  • Probabilistic perspective of Machine Learning
  • Matrix factorization for Unsupervised Learning Models
  • Ensemble Models and Case studies
  • Deep learning and its applications in Image processing

Machine Learning has become ubiquitous with the advent of the huge volume of data generated, stored, and processed across all domains. Machine learning involves various algorithms that enable computers to learn from data without being explicitly programmed. The crux of machine learning algorithms revolve around core mathematical concepts such as linear algebra, probability, and statistics. Thus, a blend of mathematics and machine learning will help to discover interesting patterns and insights from data across diverse real-world applications with greater confidence. In addition to discussion about motivation, core themes and challenges in machine learning arena, this workshop aims to provide a mathematical perspective to some of the core ideas in machine learning. The hands-on lab sessions to build and evaluate predictive models using real-world data will help to bridge the gap between theory and practice in an effective manner

Accommodation will be provided on request for nominal charges.

Identity card and/or bonafide certificate from the head of the department/institution is to be produced at the Registration desk.

Last Date for Registration: November 30, 2018 December 5, 2018

Registration Fee

  • Industry/Research Organizations / TEQIP Sponsored Organizations: Rs. 5000 +18% GST
  • Academic Institutions(Non-TEQIP): Faculty: Rs. 3000 +18% GST
  • Full Time Research Scholars : Rs. 2000 +18% GST

Instructions for Registration

  1. Participants are required to first make the payment through our ACRD (Amrita Centre for Research and Development) portal.
  2. Please note down your Reference no/ Transaction id / Payment id whichever is applicable after the payment.
  3. On successful completion of online payment, fill the online registration form and submit. You will receive the registration confirmation mail within 2-3 days.


Organizing Secretaries

Sandhya Harikumar
Assistant Professor, Department of Computer Science & Engineering,
School of Engineering, Amritapuri

Dr. Manju B. R.
Associate Professor, Department of Mathematics,
School of Arts and Sciences, Amritapuri

Address for Correspondence

Prof. Ani R.
Assistant Professor,
Department of Computer Science & Engineering,
Amrita School of Engineering,
Amritapuri Campus, Kollam

Lekshmi S. Nair
Assistant Professor,
Department of Computer Science & Engineering,
Amrita School of Engineering,
Amritapuri Campus, Kollam

Mr. Krishna S.
Faculty Associate,
Department of Computer Science & Engineering,
Amrita School of Engineering,
Amritapuri Campus, Kollam
9645211135, |  9496322470

Event Details
2018-12-10 09:00 to 2018-12-14 16:00
Computer Science