AI-Powered Time Series Forecasting with Python / with Tobias Zwingmann.

Format:

Video

Author/Creator:

Zwingmann, Tobias, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

digital

Summary:

In this course, learn how to use real-time data to make predictions using tools like AI and Python.

For any business, gaining and understanding insights into future trends, customer demands, or market conditions is an important factor in success. And with the wide availability of machine learning and artificial intelligence tools, thousands of businesses are able to enhance their operations through time series forecasting. In this course, Tobias Zwingmann introduces you to time series forecasting using Python and AI and shows how you can apply them to your business. Learn how to translate forecasting workflows from static, classroom problems to dynamic, real-time use cases. Plus, find out about the tools and approaches you can apply to other AI and machine learning tasks. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "GitHub Codespaces" video to learn how to get started.

Participant:

Presenter: Tobias Zwingmann

Notes:

8/16/202412:00:00AM

Access Restriction:

Restricted for use by site license.