Introduction to Machine Learning (IMLR04)Master Machine Learning with
hands‑on training in *R and RStudio*
https://www.prstats.org/course/introduction-to-machine-learning-imlr04/
Unlock your analytical potential in a *five‑day live online course*,
tailored for data‑savvy researchers, analysts, and scientists. Learn how to
build, evaluate, and interpret both supervised and unsupervised machine
learning models using R.
-
Join live online sessions from wherever you are (UK time zone schedule).
The course will be recorded and the sessions will be made available the
same day to allow people from different time zones to follow.
------------------------------
Course Dates & Format
-
*Next Session*: *October 6–10, 2025* (Monday to Friday)
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*Schedule*: 8 hours per day — *live online*, scheduled in UK (Western
European) time zone
-
*Location*: Delivered remotely across the United Kingdom, accessible
worldwide through a live online platform.
------------------------------
Target Audience & Outcomes
Designed for applied researchers, ecologists, statisticians, analysts, and
anyone comfortable with R and basic statistics. By course end you will be
able to:
-
Implement *classification*, *regression*, and *clustering* algorithms
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Tune models effectively and evaluate performance metrics
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Apply techniques for *model interpretation*, including variable
importance and diagnostics
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Confidently choose and customise ML workflows using R tools—perfect for
research or real‑world decision‑making
------------------------------
Fees & Registration
-
*Early-bird rate*: *£400* (first 10 spots)
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*Standard rate*: *£450*
------------------------------
Course Logistics Breakdown
Component Details
*Daily schedule* 8 hours/day live sessions — full interactive learning
*Platform* Real-time virtual classroom; lectures, coding, Q&A
*Software needed* R and RStudio (instructions provided in advance)
*Materials* Lecture slides, sample datasets, exercises & code snippets
*Format* Hands-on practice with real-world datasets
Participants should have a working knowledge of R and basic statistics
(linear algebra and probability). All materials are provided, but you’ll
need to install R/RStudio ahead of time.
------------------------------
Why Choose IMLR04?
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*Balanced theory + practice*: Skip long lectures—focus on building real
models immediately
-
*Expert instruction*: Learn from experienced tutors with deep knowledge
of ML in applied settings
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*Collaborative learning*: Join a cohort of peers, with live Q&A and
group engagement
-
*Practical relevance*: Covering model tuning, evaluation, ensemble
methods, unsupervised learning, and interpretability—all in R
------------------------------
How to Register
1.
Visit the PR Stats course page for IMLR04
2.
Choose early-bird (£400) or standard (£450) registration
3.
Receive joining instructions, schedule, and software setup guide
4.
Join live online sessions from wherever you are (UK time zone schedule).
The course will be recorded and the sessions will be made available the
same day to allow people from different time zones to follow.
Ready to build predictive models, interpret them effectively, and elevate
your data-driven decision-making?
*Email oli...@prstat.org <oli...@prstat.org> with any questions*
--
Oliver Hooker PhD.
PR stats
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