Essential Mathematics for Data Science Live Session by Great Learning

About this session

In this talk, we walk through the required mathematics to succeed in both theoretical and applied aspects of data science. Data science problems are modelled and solved using mathematical algorithms. For example, to predict store revenues using advertisement expenditure, we could model this problem as: Store Revenues = A + B*adExpenditure where 'A' and 'B' are model parameters. These parameters could be estimated by a mathematical method called Ordinary Least Squares(OLS). OLS could be understood with 12th standard mathematical concepts.

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About the Speaker

Dr. D Narayana

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