This one-hour online training introduces applying data science and artificial intelligence (AI) techniques to signals and time-series datasets using MATLAB. The training will cover the entire AI pipeline, from signal exploration to deployment. Participants will explore the fundamentals of processing, analyzing, and visualizing signal data, as well as implementing machine learning and AI algorithms tailored for time-series datasets. This training is designed for researchers, engineers, and data scientists who work with signals or temporal data and seek to enhance their analytical capabilities through MATLAB's data science and AI functionalities.
By the end of this training, attendees will be able to:
- Understand the unique challenges and opportunities in analyzing signals and time-series data.
- Import, preprocess, and visualize signal and time-series datasets in MATLAB.
- Apply machine learning techniques, including supervised and unsupervised algorithms, to create predictive models for time-series data.
- Explore deep learning approaches, such as recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, for advanced time-series analysis.
- Deploy trained AI models and automate workflows to integrate insights into research or operational pipelines.
- Utilize MATLAB’s documentation, online resources, and toolboxes to extend their data science and AI capabilities.
Attendees are expected to be familiar with the basic functions of the MATLAB to be successful in this training.