Linear algebra is a sub-field of mathematics concerned with vectors, matrices, and linear transforms. It is a key foundation to the field of machine learning, from notations used to describe the operation of algorithms to the implementation of algorithms in code.
This course helps you to understand the vectors in different dimensions and their linear transformation to some other domain, matrix theory and various properties of matrices and its transformations, Eigenvalues and Eigenvectors and their role in dimensionality reduction and the applications of linear algebra for AI and ML.
Upon successful completion of the course, the learner will be able to
Master the various concepts in Linear Algebra.
Learn how linear algebra plays an important role in reducing the complexity of the data processing in AI and ML algorithms.
In this topic, you will learn about how to derive Eigenvalues and Eigenvectors from the matrices and how they are used to reduce dimension.
In this topic, you will learn about how to find the inner product of the matrix and its properties and short cuts to find it. You will also learn how Linear Algebra is used in the field of AI and ML.
In this topic, you will learn about the multidimensional vector space and its various representations. You will also understand the transformations between different domains.
In this topic, you will learn about Subspaces, span and Basis of a vector and how it reduces the complexity of representing the vectors.
In this topic, you will learn about Grouping multiple vectors to form matrices and various types of matrices and its properties.
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Auto Evaluation is the Core of E-Box. Your solutions and answers are evaluated instantaneously by E-Box, thereby saving learners a lot of time
With Auto - Evaluation being the core of the Platform, E-Box uses AI & ML to assist Learners during their course of Study
E-Box’s AI algorithms provide you with Exercises that are Personalised and Adaptive based on your Interest and Calibre
Data becomes the core for evolving a personalised learning. E-Box uses these metrics for an Auto Corrective Learning Process