MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 29 lectures (3h) | Size: 503.5 MB

Learn Mathematics for Machine Learning and Data Science. It covers Calculus and Linear Algebra for Data Science
What you'll learn:
Functions
Differentiation
Integration
Partial Differentiation
Basics of Matrices
Addition and Subtraction of Matrices
Scalar Multiplication of Matrices
Mutiplication of Matrices
Vectors
Finding Determinant of a Matrix
Inverse of a Matrix
Eigenvalues and Eigenvectors
Linear regression
Application of Mathematics in Data Science and Machine Learning

Requirements
Familiarity with basic algebra
Familiarity with basic Matheatics

Description
In this course you will learn Calculus and Linear Algebra for Machine Learning and Data Science from scratch.

Calculus and Linear Algebra form the foundation of the essential Mathematical background required in the field of Machine Learning and Data Science.

In this course you will learn.

Functions

Differentiation

Integration

Partial Differentiation

Basics of Matrices

Addition and Subtraction of matrices

Multiplication of Matrices

Vectors

Eigenvalues and Eigenvectors

Application of Mathematics in Data Science

Calculus & Linear Algebra finds wide variety of applications in different fields of Machine Learning and Data Science. Learning Calculus & Linear Algebra will help you in understanding advanced topics of Machine Learning and Data Science. If you are taking a Machine Learning or Data Science course, then this course is certainly going to help you.

In this course I have provided video lectures for each and every concept, these lectures are supplemented by quizzes and examples that will help you reinforcing your knowledge and will also help you in learning the Math behind Machine Learning.

Who this course is for
Beginner Data Science Students
Students facing difficulty in understanding Mathematical prerequisites of Python and Data Science