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
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