First Week of Essential Math. For ML

First Week of Essential Math. For ML

Suraj Rokade Suraj Rokade

Suraj Rokade

??Cloud Engineer at NuSummit | cloudxchange.io | AWS SysOps

发布日期: 2021年9月1日
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I just complete my first week of Essential Mathematics for ML With Prof. S.K. Gupta & Prof. Sanjeev Kumar (IIT Roorkee) From NPTEL(online mode) .

In this first week I learn :

* Vectors in ML(Lec. 1) : Vector Algebra ,Vector Combination of vector , Linear Independent and Dependent Vectors , Orthogonal Vectors ,Some Example of feature vectors.

* Basics of Matrix Algebra (Lec. 2) : Diagonal and Triangular Matrix,Matrix Algebra,Scaler Multiplication , Inverse of a matrix and its properties And we also practice the basic operation using python and numpy .

* Vector Space (Lec. 3) : Definition and 6 properties , sets not forming vector space over R like Polynomial of degree n, geometric interpretation of R^2 and R^3, Euclidean space

It also contain 1 assignment , my score was 2 :)



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