Applied Machine Learning Training Course

Course CodeCourse Code

appliedml

Duration Duration

14 hours (usually 2 days including breaks)

Overview Overview

This training course is for people that would like to apply Machine Learning in practical applications.

Audience

This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.

The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience.

Course OutlineCourse Outline

  • Naive Bayes
  • Multinomial models
  • Bayesian categorical data analysis
  • Discriminant analysis
  • Linear regression
  • Logistic regression
  • GLM
  • EM Algorithm
  • Mixed Models
  • Additive Models
  • Classification
  • KNN
  • Bayesian Graphical Models
  • Factor Analysis (FA)
  • Principal Component Analysis (PCA)
  • Independent Component Analysis (ICA)
  • Support Vector Machines (SVM) for regression and classification
  • Boosting
  • Ensemble models
  • Neural networks
  • Hidden Markov Models (HMM)
  • Space State Models
  • Clustering

TestimonialsTestimonials

ref material to use later was very good.

PAUL BEALES- Seagate Technology.

What did you like the most about the training?:

Gave me good practice with using R to build machine learning systems for real situations. I can use this in my work straight away.

This was an excellent course. One of the best I have had.

Matthew Thomas - British Telecom

ref material to use later was very good

PAUL BEALES - Seagate Technology

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From CA$5050
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 CA$5050
2 CA$2900
3 CA$2183
4 CA$1825
Public Classroom
From CA$7190
(98)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 CA$7190
2 CA$4045
3 CA$2997
4 CA$2473
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Related Categories

Related Courses

Upco...Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Winnipeg - 201 Portage AvenueThu, Dec 7 2017, 9:30 amCA$5050 / CA$7370
Saint John - Harbour BuildingThu, Dec 7 2017, 9:30 amCA$5050 / CA$8050
Charlottetown - Holiday Inn Express & SuitesThu, Dec 7 2017, 9:30 amCA$5050 / CA$8050
Calgary - Sun LifeThu, Dec 7 2017, 9:30 amCA$5050 / CA$7410
Edmonton - First Edmonton PlaceThu, Dec 7 2017, 9:30 amCA$5050 / CA$7400

Course Discounts

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