£495

Introduction to Machine Learning with R

Event Information

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Location

Location

Campus or Virtual Classroom

Goldsmiths, University of London (Senate House wc1e 7hu, OR New Cross, se14 6nw)

Room details will be emailed

London

SE14 6NW

United Kingdom

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Refund Policy

Refund Policy

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Eventbrite's fee is nonrefundable.

Event description
Learn methods for both prediction and classification problems using both and unsupervised machine-learning techniques in R.

About this Event

The course is available in four formats:

  • Campus (VAT-free)
  • Online (Virtual Classroom) with live tutoring (VAT-free).
  • Clients' Office
  • Bespoke (Group or 1-2-1 coaching).

Next available dates:

  • 17 - 19 Aug 2020 (Virtual Classroom) - select 17 Aug 2020
  • 19-21 Oct 2020 (Campus - Senate House) - select 19 Oct 2020
  • 20-22 Jan 2021 (Campus - New Cross) - select 20 Jan 2021

Course description

This 3-day course covers a number of methods for both prediction and classification problems using both supervised and unsupervised machine-learning techniques in R.

R makes the implementation of advanced machine learning techniques a relatively straight forward process – we will harness these techniques to address problems such as house price prediction, customer segmentation and election result prediction.

We will apply a number of techniques to a variety or real world datasets, such as house price data, financial data and demographic data. You will also be encouraged to source your own datasets to test your skills.

This course will take a practical approach.

Full course description here:

https://www.gold.ac.uk/short-courses/introduction-to-machine-learning-with-r/

Benefits of live tutoring

Live tutoring brings all the benefits of face to face training and, in addition, improves skills for ‘digital’ participation - an essential skill for the 21st century.

Tutoring

The course is directed by Dr Will Lawrence, who completed his PhD at the department of Electronics and Computer Science at the University of Southampton, and who has a background in psychology. Will has rich experience in delivering training in both Python and R, to diverse audiences.

Other participants also took:

Introduction to R - Data Analysis and Programming.

Introduction to Python - Data Analysis and Programming.

We offer a range of programming courses as well as flexibility - click here.

Enquiries: Email: air(@gold.ac.uk); Phone: +44 (0)20 7078 5468. For information on our upcoming short courses please sign up to our mailing list.

Refund policy: See AIR courses main page

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Date and Time

Location

Campus or Virtual Classroom

Goldsmiths, University of London (Senate House wc1e 7hu, OR New Cross, se14 6nw)

Room details will be emailed

London

SE14 6NW

United Kingdom

View Map

Refund Policy

Contact the organiser to request a refund.

Eventbrite's fee is nonrefundable.

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