Machine Learning Fundamentals with R Training Course

Primary tabs

Course Language

This course is delivered in English.

Course Code

MLFWR1

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Knowledge of R programming language. Basic familiarity with statistics and linear algebra is recommended.

Overview Overview

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the R programming platform and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Course Outline Course Outline

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From $6190
(117)
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.
From $6190
Request quote
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From $3890
Request quote

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 Classroom Private Remote
1 $6190 $6190 $3890
2 $3515 $3440 $2290
3 $2623 $2523 $1757
4 $2178 $2065 $1490
Cannot find a suitable date? Choose Your Course Date >>
Too expensive? Suggest your price

Related Categories


Course Discounts

Course Venue Course Date Course Price [Remote/Classroom]
CP100A: Google Cloud Platform Fundamentals ON, Toronto - University & Dundas Fri, Jul 29 2016, 9:30 am $1208 / N/A
CP306A: Google Container Engine and Kubernetes Remote Course Fri, Aug 26 2016, 9:30 am $1220 / N/A
Forecasting with R Remote Course Tue, Aug 30 2016, 9:30 am $2450 / N/A
SQL Fundamentals Remote Course Fri, Sep 16 2016, 9:30 am $750 / N/A

Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
NL, St. John's WestMon, Aug 8 2016, 9:30 am$3890 / $6890
ON, Oakville - Glen AbbeyMon, Aug 8 2016, 9:30 am$3890 / $6250
QC, Quebec - Sainte FoyTue, Aug 9 2016, 9:30 am$3890 / $6390
ON, Ottawa – Albert & MetcalfeTue, Aug 9 2016, 9:30 am$3890 / $6490
MB, Winnipeg - 201 Portage AvenueWed, Aug 10 2016, 9:30 am$3890 / $6390

Some of our clients