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Mathematics for Data Science
July 24 @ 2:00 pm - July 28 @ 4:00 pm
VIT Bhopal University
The workshop is designed to provide data science practitioners with a comprehensive understanding of the mathematical foundations that underlie various data science techniques and algorithms. It aims to bridge the gap between theoretical mathematical concepts and their practical applications in data analysis and machine learning. The workshop covers a wide range of topics relevant to data science, such as linear algebra, probability theory, regression analysis and optimization methods. Participants will gain insights into how these mathematical concepts are used in real-world data science problems and learn how to apply them effectively.
Dr. Damodar Reddy Edla, NIT GOA – “Swarm Intelligence: Challenges and Applications for Optimization”.
Dr. Jakkepalli Pavan Kumar, NIT TIRUCHIRAPPALLI – “Statistical Techniques for Data Science”.
Dr. Chandra Mohan D, IIIT SRICITY – “Mathematical modelling of Neural Networks (ANN, CNN and RNN)”.
Dr. J.Somashaker, JAIN UNIVERSITY – “In-depth Mathematical Intuition, Applications and Case Studies of Naive Bayes Classifier in Machine Learning”.
Dr. Y. V.K. Ravi Kumar, BITS PILANI – “Regression Analysis in Data Science”.
Dr. Chandan Kumar Behera
Sr. Assistant Professor, SCSE.
Contact: 90394 99036,
Dr. Nilam Venkata Koteswararao
Assistant Professor, SASL.
Mr. Sahil Chaudhary (7861066658)
Mr. Rishabh Kabra (9166087756)
Ms. Sanika Awal (7694842211)