Introduction to Machine Learning

Introduction to Machine Learning: from the basics of the Python programming language, its libraries, and the basics of statistics to machine learning techniques such as support vector machine, random forest and manifold learning

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Course Presentation

The purpose of the “Introduction to Machine Learning” course is to develop students’ skills in building, researching and evaluating the quality of mathematical models related to non-representational machine learning methods (support vector machines, linear regression, decision trees, etc.). The course forms in students the basic skills necessary for work in the field of machine learning and data analysis: the ability to construct and visualize features, change their dimensions, choose and train classification, regression and clustering algorithms, analyze the results of their work, draw conclusions about the success of model selection and its hyperparameters.

This course runs once a year, starting in September.

Course details

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Venue

Kyiv Academic University

Deep tech fields

Artificial Intelligence & Machine Learning (including Big Data)

Country

Ukraine

Course language

Ukrainian

Course certification

Fee

Free course

Duration (hours)

90

Certificate provided

Yes

Skills addressed

Course format

Hybrid

Target group

Quality check

Approved

Dates

Current no dates scheduled

Course provider

Kyiv Academic University

The key principle behind Kyiv Academic University is “learning by doing research internationally”: to provide a research-intensive education system by leveraging the expertise of research instituti..

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