Linear Algebra Tools: Vector Spaces to Matrix Factorization

Master matrix factorization techniques and vector space concepts for applications in data compression, image processing, recommendation systems, and more.

5
Hours
LunarTech Academy
Certificate
Available online
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In this course,
you'll learn

Visualizing Change: Linear Transformations

You will explain the properties of linear transformations and visualize their effects on shapes and space.

Matrix Tools for Analysis

You will confidently perform essential matrix operations (addition, subtraction, scalar multiplication, determinants, inverses, and transpose) and understand their use in linear transformations.

Foundations of Vector Analysis

You will understand the basis of a vector space and apply vector projections to solve geometric problems.

Decoding Matrices

You will grasp the concepts of matrix factorization, recognize special matrices, and understand the principles of QR, Eigen, and Singular Value Decompositions.

Your instructor

Tatev Aslanyan

Tatev brings industry experience, advanced AI/ML degrees, and a reputation as a thought leader in data science to LunarTech. Her publications in top journals and presentations at international conferences showcase her expertise.

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Course program

Here's a glimpse of what you'll learn throughout the course

Module 1

Introduction to Linear Transformations

Dive into the fundamentals of linear transformations, the mathematical operations that manipulate space while preserving specific properties.

Module 2

Geometric Interpretations of Linear Transformations

Learn how to visualize linear transformations, understanding how they rotate, scale, reflect, and distort shapes.

Module 3

Matrix Fundamentals

Master the basics of matrix operations, including addition, subtraction, and scalar multiplication, the essential tools for representing linear transformations.

Module 4

Determinants, Inverses, and the Transpose

Explore determinants, which reveal key insights into matrices, matrix inverses, which allow us to "undo" transformations, and the transpose, a powerful tool for matrix manipulation.

Module 5

Vector Space Foundations

Understand the concept of a vector space, the basis of these spaces, and how to perform vector projections, a geometric tool with wide applications.

Module 6

Matrix Factorization Power

Discover special matrices with unique properties and delve into matrix factorization, the process of breaking down matrices into simpler components for analysis and problem-solving. Explore powerful techniques like QR, Eigen, and Singular Value Decomposition (SVD).

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Frequently asked questions

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Is the investment in your Data Science Bootcamp really worth it?

Our data science bootcamp is designed to provide you with the most comprehensive and relevant curriculum available . Enroll now and you’ll get immediate access to valuable resources, including expert guidance from experienced professionals and a supportive community of like-minded learners.

Let’s do the math together:

Our bootcamps cost $149.97 for 30 days, $99.97 monthly for 180 day-plan Semi-Annually, $79.97 monthly for 365 day-plan Annual plan.

That breaks down to:

max $149.97/30 = $4.93 per day

mid $99.97/30 = $3.33 per day

min $79.97/30 = $2.67 per day

That’s less than the cost of a daily Starbucks coffee! And while coffee might give you a quick energy boost, our bootcamp will provide you with long-term knowledge and skills that can enhance your career opportunities. Don’t miss out on this cost-effective and valuable opportunity.

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