Data Science for Dynamical Systems | Practical Applications, Reinforcement Learning

Oliver Wallscheid & Sebastian Peitz

Explore data science techniques for analyzing and controlling dynamic systems with this comprehensive course. Covers system identification, model predictive control, and more.

University CoursesControl SystemsData ScienceMachine Learning

Introduction

This course provides an introduction to data science techniques for the analysis and control of dynamical systems. It covers topics such as system identification, model predictive control, and reinforcement learning, with a focus on practical applications.

screenshot

Highlights

  • Covers a wide range of data science techniques for dynamical systems
  • Emphasizes practical applications and real-world case studies
  • Taught by experienced researchers and practitioners in the field

Recommendation

This course is recommended for students and professionals interested in applying data science to the analysis and control of dynamic systems, such as in robotics, energy systems, and transportation. It provides a solid foundation in the theoretical and practical aspects of this rapidly growing field.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Getting Started with Artificial Intelligence , 2nd Edition

25
Technical TutorialsData ScienceMachine Learning
Comprehensive introduction to AI, covering machine learning and data science. Practical guide to building enterprise applications with real-world examples.

Machine Learning For Dummies, IBM Limited Edition

19
Technical TutorialsData ScienceMachine Learning
Comprehensive guide to machine learning and data science, suitable for beginners and experienced professionals. Authored by experts Daniel Kirsch and Judith Hurwitz.

A Programmers Guide to Data Mining

14
Technical TutorialsData SciencePython
Comprehensive guide to data mining techniques, including recommendation systems, classification, and clustering. Beginner-friendly introduction for programmers with hands-on exercises and Python code.

Data Mining Concepts and Techniques

25
Technical TutorialsData ScienceMachine Learning
Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis.

Foundations of Data Science

5
Technical TutorialsComputer ScienceData Science
Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more.

Fundamentals of Data Visualization

4
Technical TutorialsData AnalysisData ScienceData Visualization
Comprehensive guide to understanding the principles and techniques of data visualization, covering design, perception, and communication of visual data. Practical insights and tools for creating effective visualizations.

Hands-On Data Visualization

9
Technical TutorialsData ScienceJavaScript
Comprehensive guide to data visualization techniques and best practices. Learn to design interactive charts and customized maps for your website using free and easy-to-learn tools.

High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

10
Technical TutorialsComputer ScienceData ScienceMathematics
Comprehensive exploration of high-dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners.

Mining of Massive Datasets

28
Technical TutorialsData Science
Comprehensive guide to data mining, machine learning, and analysis of massive datasets, including techniques for similarity search, data-stream processing, and graph analysis.