Algebra for Machine Learning Training Course

Course Code

algebraforml

Duration

14 hours (usually 2 days including breaks)

Requirements

  • Basic experience or familiarity with machine learning
  • Basic programming experience

Overview

Linear algebra is a branch of mathematics that deals with vectors, matrices, and linear transforms. Knowledge of linear algebra helps engineers and developers improve their machine learning capabilities. Understanding linear algebra concepts allows them to better understand the principles behind machine learning techniques and thus solve problems faster.

In this instructor-led, live training, participants will learn the fundamentals of linear algebra as they step through solving a machine learning problem using linear algebra methods.

By the end of this training, participants will be able to:

  • Understand fundamental linear algebra concepts
  • Learn the linear algebra skills needed for machine learning
  • Use linear algebra structures and concepts when working with data, images, algorithms, etc.
  • Solve a machine learning problem using linear algebra

Audience

  • Developers
  • Engineers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction to Linear Algebra

Why You Should Improve Your Linear Algebra Knowledge for Machine Learning

Learning Linear Algebra Notations

Understanding Vectors

  • Vector Properties and Characteristics
  • Performing Vector Operations

Understanding Matrices

  • Matrix Properties and Characteristics
  • Performing Matrix Operations and Transformations
  • Working with Special Matrices

Solving Linear Systems

  • Representing Problems as Linear Systems
  • Solving Linear Systems

Linear Mappings with Matrices

  • Orthogonal Matrices
  • The Gram-Schmidt Process

Reflecting and Manipulating Images with Matrices

Understanding Eigenvalues and Eigenvectors and their Application to Data Problems

Examining Google's PageRank Algorithm with Eigenvalues and Eigenvectors

Understanding Principal Components Analysis (PCA) for Machine Learning

Understanding Linear Regression for Machine Learning

Project: Solving a Machine Learning Problem with Linear Algebra

Summary and Conclusion

Testimonials

★★★★★
★★★★★

Related Categories

Related Courses

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

We are looking to expand our presence in Hong Kong!

As a Business Development Manager you will:

  • expand business in Hong Kong
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!