Applied Machine Learning Training Course

Primary tabs

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Keine

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 Outline Course 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

Bookings, Prices and Enquiries

Public Classroom Public Classroom
From 2390EUR
(195)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
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
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 Public Classroom Private Remote
1 2390EUR 1890EUR
2 1520EUR 1245EUR
3 1230EUR 1030EUR
4 1085EUR 923EUR
Cannot find a suitable date? Choose Your Course Date >>
Too expensive? Suggest your price

Related Categories

Related Courses


Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
BaselTue, 2017-10-10 09:301890EUR / 2390EUR
BernTue, 2017-10-10 09:301890EUR / 2390EUR
ZürichTue, 2017-10-10 09:301890EUR / 2390EUR

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Statistics with SPSS Predictive Analytics Software Bern Thu, 2017-10-12 09:30 2059EUR / 2559EUR
MongoDB for Developers Zürich Mon, 2017-11-06 09:30 1782EUR / 2282EUR
Statistics Level 1 Bern Wed, 2017-11-15 09:30 1881EUR / 2381EUR
Neural Network in R Zürich Tue, 2017-11-21 09:30 1872EUR / 2372EUR
Semantic Web Overview Zürich Wed, 2017-11-29 09:30 972EUR / 1322EUR
Drools Rules Administration Bern Wed, 2018-02-28 09:30 2961EUR / 3611EUR

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