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Fundamentals of Machine Learning

An introduction to R and data analytics, with a deeper Introduction to Machine Learning.
This 3-day course will enable you to better understand what Machine Learning is, including the fundamental practices and principles. At the end of the course you’ll be able to create simple Machine Learning models using Python and R.

Target audience:
Aimed at people with existing technological and mathematical background looking to get a quick exposure to mathematics and techniques of Machine Learning.

Delegates wish to take this course should have already completed ‘Fundamentals of Data Science’ or have the equivalent level of knowledge.


  • Intro to Science, Data Science and Big Data
  • Intro to Machine Learning
  • Intro to Mathematics
  • Intro to Statistics
  • Intro to Python
  • Intro to Python for Data Science
  • Machine Learning with Python

At the end of this course attendees will know:

  • The fundamentals of Machine Learning methodologies and algorithms
  • The mathematics required for understanding and using Machine Learning algorithms
  • R Machine Learning packages

At the end of this course attendees will be able to:

  • Build Machine Learning models using R
  • Perform regression analysis
  • Perform computer simulations using R
  • Perform validation of Machine Learning models using R to evaluate the quality of models

Michael Burgess
Michael began programming as a young child, and after freelancing as a teenager, he joined and ran a web start-up during university. Around studying physics and after graduating, he worked as an IT contractor: first in telecoms in 2011 on a cloud digital transformation project; then variously as an interim CTO, Technical Project Manager, Technical Architect and Developer for agile start-ups and multinationals.
His academic work on Machine Learning and Quantum Computation furthered an interest he now pursues as QA’s Principal Technologist for Machine Learning. Joining QA in 2015, he authors and teaches programmes on computer science, mathematics and artificial intelligence; and co-owns the data science curriculum at QA.

Koolitushind sisaldab:

  • õppematerjale;
  • tunnistust;
  • sooje jooke koos küpsistega;
  • lõunasööki igal koolituspäeval;
  • tasuta parkimist.

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Fundamentals of Machine Learning