Technologies / Artificial Intelligence

The basics of machine learning in R

The training introduces participants to the world of machine learning, using the R language as a tool for implementing algorithms. The program combines a solid theoretical foundation with practical workshops where participants learn to apply various machine learning techniques to solve real-world problems. Special attention is paid to selecting appropriate algorithms and evaluating their effectiveness.

Issues

Machine learning
Data preprocessing
Classification algorithms
Regression algorithms
Unsupervised learning
Validation of models
Parameter tuning
Performance evaluation
Implementation in R
Visualize the results
Interpretation of models
ML best practices

Benefits

The participant will gain the ability to implement basic machine learning algorithms in R
He or she will learn to prepare data for modeling and select appropriate preprocessing methods
Will develop the ability to select and evaluate machine learning models
Will learn model validation and optimization techniques
Will be able to interpret results and evaluate the effectiveness of models
Will master the basics of practical application of machine learning in analytical projects

Who is this training for?

Data analysts getting started with ML

R programmers interested in machine learning

Scientists working with data

Data science specialists

Software engineers

Business analysts

Academic researchers

Technical students

Prerequisites

Basic knowledge of the R language
Knowledge of descriptive statistics
Fundamentals of linear algebra
The ability to think logically

Training program

Data preparation

Cross-validation
Supervised learning
Linear and logistic regression

Naive Bayes classifier
Support vector machines
Unsupervised learning

Dimensionality reduction
Principal component analysis

Practical implementation
Selection of models
Hyperparameter tuning
Evaluation of models
Implementing solutions

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For The basics of machine learning in R we recommend: Basic knowledge of the R language; Knowledge of descriptive statistics; Fundamentals of linear algebra.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts getting started with ML; R programmers interested in machine learning; Scientists working with data.