Concepts in Linear AlgebraStart Free Course
Master job-ready autonomous flight software engineering skills as you tackle advanced challenges, write real code for real aircrafts, and develop a systems understanding of the Flying Car full-stack.
Accelerate your career with the credential that fast-tracks you to job success.
One of the most interesting topics to visualize in Linear Algebra are Eigenvectors and Eigenvalues. Here you will learn how to easily calculate them and how they are applicable and particularly interesting when it comes to machine learning implementations.
This free course is your first step towards a new career with the Flying Cars & Autonomous Flight Nanodegree Program.
Enhance your skill set and boost your hirability through innovative, independent learning.
To easily understand this class you will need to have mathematical background in Linear Algebra. Refresh your memory or go over the topics of Linear transformation , Determinants And a System of linear equations before beginning.
See the Technology Requirements for using Udacity.
In the computational world of AI you will often encounter enormous amounts of data that needs to be processed. Often, the data volume will be so large that you will need to use some form of data reduction technique. Eigen-concepts are a big part of the mathematical background needed to understand a useful data reduction tools, called Principal Component Analysis (PCA).
Besuchen Sie de.udacity.com und entdecken Sie lokale Angebote, unsere Partnerunternehmen und Udacitys deutschsprachigen Blog.