Spectral Methods: Concepts and Applications

Duration: 120 minutes Hosts: Jan Strzelecki, Augmented Analytics Associate Manager,
DS & AI Competency Center This session is offered as a scheduled group session with our expert.

Ask for available time slots

Spectral Methods_ Concepts and Applications-1

What to expect

They say time reveals all things — but what they don’t say is that we also need to use the proper methods to obtain most of time’s revelations. In this webinar, you’ll learn more about time series data, long-term forecasting, periodicity, and other time-related analytics concepts and theories. You’ll then dive deeper into how time-frequency methods are applied in the fields of science, engineering, and business.

Time Series Data as a Fundamental Concept

Basic Applications

Complex Applications

Case Studies

Review why many types of data are indexed by time and see how time series data is used in various disciplines.

Look at how long-term forecasting of time series data is applied in the fields of science and engineering.

See how time-frequency methods are used to accomplish complex tasks like designing and creating signal filters.

Check out how enterprises have benefitted from implementing spectral methods.

Time Series Data as a Fundamental Concept

Basic Applications

Review why many types of data are indexed by time and see how time series data is used in various disciplines.

Look at how long-term forecasting of time series data is applied in the fields of science and engineering.

Complex Applications

Case Studies

See how time-frequency methods are used to accomplish complex tasks like designing and creating signal filters.

Check out how enterprises have benefitted from implementing spectral methods.

Time Series Data as a Fundamental Concept

Review why many types of data are indexed by time and see how time series data is used in various disciplines.

Basic Applications

Look at how long-term forecasting of time series data is applied in the fields of science and engineering.

Complex Applications

See how time-frequency methods are used to accomplish complex tasks like designing and creating signal filters.

Case Studies

Check out how enterprises have benefitted from implementing spectral methods.

About Our Speaker

Jan T. Strzelecki is a team leader in the augmented analytics practice of Lingaro Group’s data science and AI center of excellence. Jan is passionate about utilizing emerging technologies to drive positive change in both professional and philanthropic contexts. He has extensive experience in AI, machine learning, and team management, having worked on projects for Fortune Global 100 and Fortune Global 500 companies.

Ask for available time slots

Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.

Spectral Methods: Concepts and Applications

What to expect

Time Series Data as a Fundamental Concept

Basic Applications

Complex Applications

Case Studies

Time Series Data as a Fundamental Concept

Basic Applications

Complex Applications

Case Studies

Time Series Data as a Fundamental Concept

Basic Applications

Complex Applications

Case Studies

About Our Speaker

Ask for available time slots

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