Linear Algebra for Data Science & Machine Learning - 2020
Duration: 1h25m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 216 MB
Genre: eLearning | Language: English
Learn Basics of Linear Algebra (Mathematics) for Artificial Intelligence, Machine Learning and Data Science

What you'll learn
Basics of Linear Algebra for Machine Learning & Data Science
Scalar & Vector Arithmetic
Linear Equations
Matrices - Tensors

Requirements
No prior knowledge is required
Aim of Learning Machine Learning and Data Science

Description
LINEAR ALGEBRA for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTION

Why Learn Linear Algebra?

Sets

Linear Equation Systems

What is a Scalar?

Scalar & Vector Arithmetic

Vector Addition and Subtraction

Scalar Multiplication of Vectors

Dot & Cross Product

Dot Product Linear Algebra Style

Vector Subspace

Linear Combinations of Vectors

Span

Linear Dependence and Independence

Solving Systems of linear equations

Linear Equation Example

Generating Set and Basis

Linear Mapping/Linear Transformation

Additivity

Homogeneity

Kernel

Matrices - Tensors

Matrix Multiplication

Range of a Matrix

Kernel of a Matrix

Determinant of a Matrix

Identity , Transpose and Inverse Matrix

Eigenvector and Eigenvalue

WHY LINEAR ALGEBRA?

Linear algebra is absolutely key to understanding the calculus and statistics you need in machine learning and data science.

If you can understand machine learning methods at the level of vectors and matrices you will improve your intuition for how and when they work.

A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results.

THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE

In-class support: We don't just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.

WHO WE ARE: DATAI TEAM ACADEMY

DATAI TEAM is a team of Python Programmers and Data Scientists.

Let's register for the course and start to Linear Algebra for Data Science & Machine Learning.

Who this course is for:
Those who want to specialize in Machine Learning but not know linear algebra
Those who want to learn a linear algebra but cannot decide where to start
Those who want to start and continue their education or career in data science, machine learning or artificial intelligence

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