Introduction to Machine Learning with R
Event Information
About this event
- 17-19 Nov 2021 - Online with live Tutor
- 21-25 Feb 2022 - On Campus
- 21-23 Mar 2022 - Online with live Tutor
- Private group or 1:1 bookings - Online or Clients' Offices
What participants say
"Course was very good, a nice mix of lecture style learning and practical work."
"I found the course to be challenging – the right level of challenging – and it introduced me to techniques I have not come across before."
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. Read more here...
VAT-Free* - except when provided in Clients' Offices
100% of AIR income,
beyond operational expense, is used towards education and research. Read more…
Available Options, When, Where
The course is available in four formats:
- Campus - VAT-free
- Clients' Office
- Online (Virtual Classroom) with live tutoring - VAT-free .
- Bespoke (Group or 1-2-1 coaching) - available on request.
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.
Bespoke Course Information: Please contact us for tailor-made course options.
Continuing training
Recommended additional training following this course :
- Introduction to Python - Data Analysis and Programming.
- Intermediate Python - Pandas and Packages
- Tailor-made course for groups or 1:1
We regularly offer bespoke courses and have small and large groups.
We offer a range of programming courses as well as flexibility - click here.
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.
Group bookings:
To book this course for a group, please email us air(@gold.ac.uk). The price for group bookings starts at £3,465, covering the cost of up to 8 people.
Our training is accessible from anywhere in the world
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
Organiser AIR Courses, Goldsmiths, University of London
Organiser of Introduction to Machine Learning with R
AIR Courses are a product of combined efforts of world-renowned experts in a range of areas.
Of the thousands of degree-granting universities, Goldsmiths Psychology department is in the World Top 100 in the QS ranking for academic reputation. Papers by our academics are highly cited, we hold 55th place among the worlds' Psychology departments for the number of citations per published paper.
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(see https://www.gold.ac.uk/short-courses/air/)
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Tailor-made group courses can also be arranged at other times.
In addition to our group courses, we provide one-to-one courses of different length (subject to availability) – contact us for further information.
Goldsmiths, University of London
Goldsmiths, known for its excellence in creative and cultural arts, humanities and social sciences, is launching an exciting range of adult education and short training courses, giving busy people the chance to work towards new opportunities and a more fulfilling future. We are presenting a diverse, new range of evening and weekend courses, taught by the same experts that teach our ground-breaking degree programmes. This is a chance for you to get a taste of the challenging courses that has made our graduates so successful in creative, cultural and business communities.
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