Fundamentals of Machine Learning

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Koolitus toimub inglise keeles!

This 3-day course will enable you to better understand what Machine Learning is, including the fundamental practices and principles. It is an introduction to R and data analytics, with a deeper Introduction to Machine Learning. 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.

The results of the training
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

Prerequisites to the course (recommended):
Delegates wish to take this course should have already completed 'Fundamentals of Data Science' or have the equivalent level of knowledge.

Length: 24 academic hours

The prerequisite for issuing the certificate is full participation in training.

The training topics:

•          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

The training price also includes:
teaching materials;
a trainer's consultation on the topics learned by e-mail after the training;
certificate.

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