Machine Learning Fundamentals with R Training Course

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Course Language

This course is delivered in Polish or 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 1855PLN
(80)
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 1855PLN
Request quote
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 4800PLN
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 1855PLN 1855PLN 4800PLN
2 1818PLN 1818PLN 3290PLN
3 1805PLN 1805PLN 2787PLN
4 1799PLN 1799PLN 2535PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
Katowice ul. Opolska 22Mon, 2016-09-12 09:002535PLN / 1935PLN
Gdańsk, ul. Powstańców Warszawskich 45Mon, 2016-09-12 09:002535PLN / 1909PLN
Szczecin, ul. Małopolska 23Mon, 2016-09-12 09:002535PLN / 1877PLN
Gdynia, ul. Ejsmonda 2Mon, 2016-09-12 09:002535PLN / 1911PLN
Lublin, ul. Spadochroniarzy 9Mon, 2016-09-12 09:002535PLN / 1935PLN

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