Machine Learning Fundamentals with R Training Course

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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

Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 4480EUR
(67)
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 Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 3980EUR
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 Remote
1 4480EUR 3980EUR
2 2635EUR 2335EUR
3 2020EUR 1787EUR
4 1713EUR 1513EUR
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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Москва, Moscow, Begovoy DistrictMon, 2016-12-26 09:303980EUR / 4480EUR
Nicosia, Jacovides TowerMon, 2016-12-26 09:303980EUR / 4980EUR
Dublin St. Kevin'sMon, 2016-12-26 09:303980EUR / 4780EUR
Limerick Strand HotelTue, 2016-12-27 09:303980EUR / 4880EUR
Dublin BallsbridgeThu, 2017-01-05 09:303980EUR / 4780EUR

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