All Classes and Courses

Learn to Use a Notebook on Your Desktop

Video Lesson | FREE

Watch this short video to learn how you can use Wolfram Notebooks on your desktop.

Learn to Use a Notebook with Natural Language Input

Video Lesson | FREE

Natural language processing means communicating with computers with the same words and syntax you would use in everyday, conversational speaking; specific programming syntax is not required. This video shows you how to quickly get started coding in the Wolfram Language by using natural language input.

Learning about LLMs Webinar Series

Archived Event | FREE

Learn about large language models (LLMs) like ChatGPT and understand how they work with the help of a symbolic neural net framework. We take a look at interesting applications and show how the computational power of Wolfram Language makes it a unique and valuable tool for working with LLMs. The series begins with a quick start to Wolfram Language tools for LLMs and ends with a panel discussion with Wolfram experts.

Learning from Input and Output: Supervised Learning

Video Lesson | FREE

Predict and Classify are highly automated functions in the Wolfram Language for supervised learning tasks. This video shows how these functions can be used to quickly create a simple interpretative model from the input data or customized for a specific task by setting options like Method and PerformanceGoal. It discusses how trained classifier models can be evaluated using metrics like Accuracy and ConfusionMatrix. This class is suitable for beginners. No previous knowledge of machine learning is required.

Learning to Tackle Real-World Computer Vision Applications

Video Lesson | FREE

How can you apply the deep learning framework integrated in the Wolfram Language for solving real-world image processing applications? This class explores some of the depth of the Wolfram Language's neural net framework capabilities and shows how the trained networks can be tweaked to suit a wide range of complex image analysis tasks. With the help of examples, you will gain practical insights into effectively leveraging neural nets for your own applications.

LLM Agents for Modeling Group Dynamics

Archived Event | FREE

In this colloquium, you will see agent-based simulations applied to the study of many kinds of groups, from classrooms to international relations. You will also see some general frameworks for creating LLM-based agents. Works presented in this colloquium are conducted in a variety of programming languages, any of which are compatible with Wolfram Notebooks.

Localizing Variables in Notebooks

Video Lesson | FREE

Global variables can create conflicts with future calculations using the same variable names, so it is often helpful to limit variables to run once or localize them. This video will show you several ways to localize variables and prevent global variables from interfering with past or future code.

Machine Learning Basics

Video Course | FREE

Follow this video series to learn about machine learning with the help of the Wolfram Language. Start with supervised learning tasks like classification and regression and move on to unsupervised learning tasks such as clustering, feature extraction and dimension reduction. Next, take a peek into active learning and generative learning from sequences. Finally, discover the built-in pre-trained models available in the Wolfram Language for specific machine learning tasks like image identification, text recognition, sentiment classification and more.

Machine Learning Webinar Series

Archived Event | FREE

Learn how the new generation of neural nets in the Wolfram Language excels in image processing, audio analysis and natural language processing tasks. This three-part webinar series walks you through the Wolfram neural net framework and demonstrates some state-of-the-art applications.

Mastering Manipulates and Palettes for Easy User Interfaces

Video Course | FREE

Wolfram Language offers a rich environment with a variety of built-in tools for building and automating dynamic and interactive interfaces. You can easily deploy and share apps, notebooks, palettes and other interfaces within Wolfram Notebooks or on the Wolfram Cloud.

Mathematica and Wolfram Language for
Mathematics Research and Study (Study Group Sessions)

Archived Event | FREE

This Daily Study Group is designed especially for mathematics graduate students and research professionals but covers topics of interest to an even wider audience. This Study Group will help you make the most of the built-in functionality available in Wolfram Language for advanced studies and research in mathematics—from special functions and visualization to solving differential equations, as well as number theory, combinatorics, differential geometry and more. Participants are encouraged to prepare for this Study Group by attending a Hands-on Start to Mathematica training tutorial.

Mathematica for the Calculus Classroom

Video Lesson | FREE

Mathematica is the educational software standard for the first-year calculus classroom, allowing students to visualize concepts and develop skills essential for other STEM classes. This video demonstrates easy ways to integrate interactive activities, visualizations and other teaching tools into first-year calculus lessons with the use of Wolfram technologies. Learn how natural language input, a predictive interface and point-and-click palettes allow students to begin using Mathematica and the Wolfram Language without learning syntax.

Mathematica: A Speed Date

Video Lesson | FREE

This course provides a whirlwind tour of Mathematica, showing how decades of research in computation, language and development together with well-thought-out design principles and solid software engineering have guided us in creating a modern computing platform. Key features, including dynamic interactivity, natural language input and numerical/symbolic computation, as well as applications in image processing, control systems, GPU computation and more, will be explored.

Model Fitting and Analysis

Video Lesson | FREE

This class explores the built-in Wolfram Language framework for linear and nonlinear regression, logit, probit and generalized linear models, as well as optimization functions, linear algebra functions and a package for analysis of variance (ANOVA). The class assumes basic familiarity with the Wolfram Language and statistics concepts.

Modeling Market Prices Using Stochastic Processes

Video Lesson | FREE

This video talks about the modeling of stock prices, portfolios, index returns, bonds, option prices, exchange rates and conditional risk using stochastic processes such as the ARCH process, vector-valued time series, the ARMA model, Chen's model, the Ito process and Merton jump diffusion. In doing so, it shows that the Wolfram Language contains a complete collection of stochastic processes and statistical distributions that can be fitted to a wide array of market phenomena.

Modeling Safety-Critical Systems

Video Lesson | FREE

Requirements: Some experience with System Modeler is recommended for the course.

Wolfram System Modeler can be used to model safety-critical systems. This video takes a detailed look at an aircraft flap system, showing how component faults can be modeled and how their effect on system behavior can be simulated.

Modeling with Statistical Distributions

Video Lesson | FREE

The Wolfram Language has the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics. This class demonstrates application of these functions for modeling and analysis in statistics. Presentation topics also include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and statistical visualization functionality.

Multiparadigm Data Science

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language

Certification Levels: CompletionLevel 1Level 2

Multiparadigm Data Science is a rapidly advancing new way to use modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.

Music Transcription in Wolfram Language

Archived Event | FREE

In this recorded, three-part livecoding series, Christopher Wolfram demonstrates the use of Wolfram Language to analyze and explore audio data. Built-in functions are used to identify the fundamental and harmonic tones corresponding to notes in an imported music file by estimating their frequencies. The technique for separation of notes is showcased with examples. The identified notes, along with their corresponding frequencies and amplitudes, are used to synthesize music. Christopher also shows how all the necessary basic computation steps can be combined to construct generalized functions for music transcription.

Networks and Graphs in Wolfram Language

Webinar | FREE

Certification Levels: Attendance

Join us for our introduction to graphs and networks in Wolfram Language. This talk will demonstrate how to construct a graph object from scratch or from predefined data sources.

Neural Network Applications: Audio Processing

Video Course | FREE

This course introduces neural network applications for audio processing. Learn about specific features of audio data and the need for a dedicated encoder. See examples of convolutional and recurrent neural networks. Get a glimpse of the fundamental building blocks of a neural network and their significance. You'll learn how to access neural network models from the Wolfram Neural Net Repository, build an audio classifier from scratch and understand the concept of "network surgery" for adapting a pre-defined network to use for audio analysis as well as for extracting data from a network for analysis and gaining insights. Finally, the technique of transfer learning is demonstrated for approaching complex problems.

Neural Network Applications: Image Processing

Video Course | FREE

This comprehensive video course introduces you to the relationship between image processing and neural networks. You'll learn about network components, using layers, how to build an image classifier and analyze existing networks, and processing features at different scales. Application examples are shared, starting with basic tools and moving on to more advanced architectures.

Neural Network Applications: Natural Language

Video Course | FREE

This video course demonstrates the state-of the-art natural language processing capabilities in the Wolfram Language. Learn about the different pre-processing steps needed for text data and the process of embedding, or mapping a symbol to a numerical vector. Utilize neural net models for language or any sequence-based tasks. Discover the built-in function FindTextualAnswer that finds answers in sentences, paragraphs and unstructured collections of texts.

New in Wolfram Language 13 Webinar Series

Archived Event | FREE

Learn about what's new in the latest major release of Mathematica and the Wolfram Language in this multipart webinar series. The first session features a fast-paced overview of Version 13 plus presentations on new functionality for video computation and machine learning in the Wolfram Language. Each of the later sessions is dedicated to a significant area of new and enhanced functionality: calculus and algebra, graphs and networks, spatial statistics and geometric computation, blockchains, and visualization and geographic visualization.