All Classes and Courses

An Overview of Machine Learning in Wolfram Language

Video Lesson | FREE

This video gives an overview of the highly automated machine learning framework in Wolfram Language, which allows you to do so much with just a few lines of code. You will learn about high-level functions that are task oriented and can be applied to a variety of input such as text, images and numeric data. Examples include building a simple image search and classification system, topic classification of text and prediction of sale prices of homes.

Analysis and Design of Control Systems

Video Lesson | FREE

Requirements: Some experience with control systems is recommended for the course.

This course shows how to work with the control systems objects created in Wolfram Language. Topics include frequency domain analysis, state space analysis, and state space design.

Analyzing Systems Using Wolfram Language and System Modeler

Video Course | FREE

Requirements: This course requires basic working knowledge of Wolfram Language and System Modeler.

This course uses a series of examples to demonstrate how to use System Modeler and Wolfram Language as an integrated environment for modeling, simulating, analyzing and understanding system designs. This course is for those who are interested in a deeper understanding of how Wolfram System Modeler, Wolfram Language and Modelica work together. Basic familiarity with Wolfram Language and System Modeler is recommended. Download the course materials, including a set of Wolfram Notebooks and a System Modeler package, and follow along with the video tutorials.

Analyzing Text to Answer Fact-Based Questions

Video Lesson | FREE

This video class introduces FindTextualAnswer, the built-in Wolfram Language function that combines well-established techniques for information retrieval with state-of-the-art deep learning techniques to find answers in text. FindTextualAnswer analyzes text and can yield several possible answers, the probabilities of those answers being correct and other properties that can help you understand the context of each answer in response to your specific, fact-based questions. In this class, you will learn the scope of this function and some practical applications, as well as gain insights into how it is implemented and the deep learning approach available in the Wolfram Language.

APIs, Forms and Web Applications in the Wolfram Cloud

Video Lesson | FREE

This class shows how to generate web content using the Wolfram Language, including static and interactive webpages in the Wolfram Cloud. The video demonstrates how to create and deploy APIs and web forms. Security options and permissions for deployed webpages are discussed. Real-world examples include calling Wolfram Cloud APIs from a web application and hosting it in the Wolfram Cloud.

Applying Neural Networks Webinar Series

Archived Event | FREE

This webinar series takes you on a deep dive into the latest workflows for building, training and evaluating neural networks. See how neural net models are used to solve complex processing tasks involving image, audio and natural language data. Sessions include hands-on demonstrations, showing real-world applications using the latest built-in Wolfram Language functionality and neural net models. Pretrained models from the Neural Net Repository and customized models are shown.

Asymptotics: The Art of Approximation

Video Lesson | FREE

This video class introduces asymptotics as an alternative to exact and numerical methods. The class opens with some historical notes and explains how asymptotic methods can be useful. Examples shown include applications for the solution of differential equations, integrals, difference and algebraic equations and the computation of sums of infinite series. Learn how to use the built-in asymptotic functions in the Wolfram Language to solve hard problems that cannot be solved exactly.

Automated Data Science

Video Course | FREE

Learn about machine learning functions that have been tuned to automate the data science process. This video course shows examples of using computation with data that go beyond traditional statistical methods and highlight the role of automated modeling in the modern data science process. Automated classification and regression functionalities are demonstrated using the built-in Wolfram Language symbols Classify and Predict.

Automated Structure Discovery: Unsupervised Learning

Video Lesson | FREE

The Wolfram Language has functions that work directly on many types of data and automatically extract some sort of structure from it. FindClusters, ClusteringTree and ClusteringComponents are examples of functions that perform the unsupervised learning task of clustering. ClusterClassify classifies new samples based on information gathered from unlabeled input data via clustering. Other functions like FeatureExtract, FeatureNearest, FeatureSpacePlot and DimensionReduce provide tools for automatic exploration of the data in the feature space. This video introduces these functions to get you started on unsupervised machine learning tasks. It is suitable for beginners without previous knowledge of machine learning.

Back to School with AI Tools and Wolfram

Video Lesson | FREE

This video explains how generative AI can be used to help students meet their learning goals and also help teachers teach and assess critical and creative thinking skills.

Basic Programming

Video Course | FREE

It is so easy to create programs in the Wolfram Language! Starting with a 60-second app, this video course shows techniques for attaching controls to your computations, making interfaces usable and beautiful, and interactively exploring everything from text and math to graphics and sound. Understand how to import data into the Wolfram System, as well as export your results in a variety of file formats. Finally, you'll try out the functional programming paradigm, with advice from our experts, to improve the performance of your programs.

Becoming a Data Curator

Video Course | FREE

Join a Wolfram|Alpha data scientist for this recorded, three-part livecoding series as they guide you in taking data from the web, importing and cleaning it, preparing it for computation in the Wolfram Language and uploading it to the Wolfram Data Repository.

Biodiversity Explorations with Machine Learning
(Study Group Sessions)

Archived Event | FREE

Learn to apply machine learning techniques and Wolfram Language functions to biodiversity data. These Study Group sessions begin by introducing you to biodiversity data access functions available with the entity framework built into the Wolfram Language and in the Wolfram Function Repository. Later sessions cover examples of classification, social media text analysis, audio processing of bird sounds and deploying a trained neural network image classifier to your mobile phone. Each session includes lessons, polls to review key concepts and practice problems.

Blockchain Foundations

Video Lesson | FREE

This video lesson explains how underlying computer Internet technology and cryptography enables and secures blockchain systems and also explores fundamental Bitcoin concepts.

Breaking the Boundaries of Data Science

Video Lesson | FREE

What do we mean by multiparadigm data science? Presenter Jon McLoone answers this question by showing examples of using computation with data that go beyond traditional statistical methods. Using the Wolfram Language to perform computations in sentiment analysis, signal processing and graph theory, Jon illustrates that various domains of computation can be combined to yield new insights into the data. The role of automation in making deep data exploration more accessible is introduced. Machine learning examples are shown. The class ends with a demonstration of a web-based application and API deployment for making results, reports and presentations interactive and collaborative.

Bringing Math to Life through Visual Learning

Video Lesson | FREE

This video class demonstrates how to encourage critical thinking in the classroom with the use of Wolfram|Alpha and the Wolfram Demonstrations Project. No previous experience with Mathematica or the Wolfram Language is required.

Building an App in 60 Seconds

Video Lesson | FREE

With the Wolfram Language, you really can build a useful, interactive app for exploring ideas in just minutes. Starting with the 60-second app, this course covers the ins and outs of the Manipulate command, the key to instantly interactive interfaces. You'll learn techniques for attaching controls to your computations, making interfaces usable and beautiful and interactively exploring everything from text and math to graphics and sound.

Building and Applying Epidemiological Models

Video Course | FREE

Follow this video course to learn about the basics of epidemiology modeling. The first few lessons will review basic dynamic transmission models, and each lesson will build on previous lessons to create progressively more complicated models that can be used to simulate real-world scenarios. The course uses data from past and present epidemics to explore how the models work and what can happen when model parameters are changed. The models are constructed and simulated using Wolfram Language and built-in data from the Wolfram Knowledgebase.

Building and Training Basic Neural Networks

Video Lesson | FREE

The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network as well as automatically process input and output using encoders and decoders. Learn how to do this in steps, along with examples of logistic regression and basic image recognition.

Building Applications with the Wolfram Cloud

Video Course | FREE

The Wolfram Cloud offers an interactive, seamless way to store code and data as well as perform computations. You can also build and deploy web forms and APIs that can be shared with others and accessed from multiple devices. Learn about using Wolfram Language functions to build applications in the Wolfram Cloud. Lessons begin with a brief introduction to cloud objects before moving on to various ways of interacting with and using them in applications. The course concludes with real-world examples of cloud-deployed applications.

Building Applications with the Wolfram Neural Net Repository

Video Lesson | FREE

Learn to build applications using the neural network models available in the Wolfram Neural Net Repository. This class showcases existing models in the repository and the different tasks for which they are intended, such as classification, feature extraction, image processing, regression, language modeling and more, with new models and new application areas being added all the time. Use cases showing applications built by students from Wolfram summer programs are shared. Learn to leverage available models to create your own applications.

Building Blocks for Deep Learning

Video Course | FREE

This video course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. You'll learn how to build feed-forward networks and about recurrent neural nets and why they are interesting.

Built-in Machine Learning in Wolfram Language

Video Lesson | FREE

You can apply machine learning to diverse subject areas without expert-level knowledge with the help of Wolfram Language. Even though you can build complicated models from scratch, you can also use any of the existing, pre-trained models on different inputs like text, numbers and images. This video introduces the many machine learning functions available for such wide-ranging tasks as image identification, text recognition, sentiment classification and others.

Business Analytics and Research with the Wolfram Language

Video Lesson | FREE

The Wolfram Language has built-in, ready-to-use financial and socioeconomic data, including current and historical stock prices and currency exchange rates. This video shows you how to use natural language as well as built-in Wolfram Language functions to query this data and compute with it. It also demonstrates the use of automated machine learning models and customized visualization for the development and enhancement of a business intelligence workflow. Several real-world examples are used to explain how the Wolfram Language can be used for business analytics and research.