All Classes and Courses

Video Creation, Editing and Analysis Using Wolfram Language

Video Course | FREE

Learn how to create, edit, process and analyze videos with Wolfram Language. You can capture videos using webcams, or create them using files, images, existing video clips or built-in functions that create individual frames. Then learn how to cut, alter and compose video footage with dedicated functions for video editing and processing. You can also learn how to enhance video quality, perform color correction and combine videos and images using overlays and grids. This course includes examples of applying machine learning and neural networks to process videos and recognize objects, faces, speech or actions in the videos.

Visualization & Graphics Quick Start

Video Lesson | FREE

This class shows how easy it is to visualize functions and data using the large set of visualization tools in the Wolfram Language. Explore built-in functions for creating plots, charts and graphics and learn how to customize them using styles, labels, legends, meshes and other options. Specialized visualizations from the domains of statistics, finance, image and signal processing and control systems are introduced. The class is suitable for those who wish to use the Wolfram Language for visualization but who have little experience with the system.

Volume Rendering and 3D Data

Video Lesson | FREE

Requirements: The course is for those who have an interest in learning about volumetric rendering in Mathematica. Basic knowledge of Mathematica and 3D rendering and processing are recommended.

This class explains the principles of volume rendering and the art of constructing the right transfer functions. It explores the drawbacks and extravagant possibilities of this new visualization modality in applications involving real-world data. The class is for those who have an interest in learning about volumetric rendering in the Wolfram Language. Basic knowledge of the Wolfram Language and 3D rendering and processing are recommended.

Wavelet Analysis

Video Course | FREE

Understand your data better with wavelet analysis. These videos offer an in-depth introduction to wavelets, starting from basic concepts and continuing into advanced methods and uses. You'll learn the essentials of wavelet decomposition of signals—including different types of wavelet transforms, common algorithms, visualizations and interpretation of results—with a focus on general applications in signal processing and time series analysis. Examples are presented from financial analysis, edge detection, denoising of images, data compression and more.

Wavelet Applications

Video Lesson | FREE

This video class presents examples from a variety of applications, including financial time series, edge detection and denoising of images, thresholding, image and data compression and image fusion. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.

Wavelet Concepts

Video Lesson | FREE

Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals. This class explains some of the theory behind continuous, discrete and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize and analyze wavelet transforms and related functions. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.

Wolfram Technology in Action: Applications & New Developments Webinar Series

Archived Event | FREE

This three-part webinar series showcases innovative applications and the latest Wolfram Language developments in data science and AI, engineering and modeling, and mathematics and science. Each session includes presentations shared at the Wolfram Technology Conference accompanied by talks from Wolfram staff scientists, application developers, software engineers and Wolfram Language users who apply the technology every day to their business operations and research.