Coursera
MOOC / Non-credit
0
Applied Kalman Filtering
About this course
In this specialization, you will learn how to derive, design, and implement Kalman-filter solutions to common engineering problems. You will be able to develop linear and nonlinear Kalman filters and particle filters in Octave code and debug and correct anomalous behaviors.
C
67/100
CourseAsk score
- What the provider tells you
- 16/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- derive Kalman filters
- implement nonlinear Kalman filters
- develop particle filters
- debug and correct anomalous filter behaviors
Machine Learning
#data analysis
#debugging
#engineering
#implementation
#signal processing
#filter design
#kalman filtering
#octave
#nonlinear filters
#particle filters
$49.00
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
edX
Coursera
Compared on these lists
Where this course ranks against the alternatives.