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Communication Skills
Graphic Design
Gamification
Introduction to Mathematical Thinking
Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
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Wolfram U offers free open interactive courses, learning events and other educational resources for professional and technical development.
Explore creative coding with Wolfram Language to produce visual art, poetry, audio, and games. Develop your artistic potential through hands-on projects using built-in functions and the Notebook interface.
Explore algebra, linear systems, matrices, optimization, finance, probability, Markov chains, and game theory. Master essential finite mathematics concepts with real-world applications in business, economics, and sciences.
Explore machine learning basics using Wolfram Language superfunctions. Learn supervised and unsupervised learning techniques for tasks like regression, classification, clustering, and anomaly detection.
Explore neural networks using Wolfram Language, from pre-built models to creating custom networks. Learn data representation, encoders, decoders, and practical applications in image, audio, and language processing.
Explore Wolfram Notebooks for interactive teaching and learning. Create code, work with data, and develop engaging content for science, math, and algorithms using versatile computational tools.
Learn to extend Mathematica functionality by exploring, using, and creating paclets. Discover best practices for development, deployment, and documentation of custom paclets for the Wolfram Language Paclet Repository.
Learn to develop, document, and deploy Wolfram Language paclets. Explore the Paclet Repository, create metadata, and submit your own paclets using PacletTools and Documentation Tools.
Explore competitive math problem-solving using Wolfram Language. Learn to apply number theory, combinatorics, and algebra to tackle challenges from elite STEM programs like AIME, PROMYS, and SUMaC.
Explore neural networks as differentiable programs, build models for regression and classification, and learn to train, fine-tune, and validate their performance using Wolfram Language.
Learn to develop Wolfram Language code in popular text editors using LSP-powered add-ons. Explore syntax highlighting, code organization, and editor-specific features for enhanced coding efficiency.
Import, visualize, and analyze life science data using Wolfram Language. Access built-in scientific data, create machine learning models, and apply image processing for medical applications.
Interactive computational documents for data science, modeling, and research. Build and share dynamic presentations with code, visualizations, and interactive elements using Wolfram Notebooks.
Explore integrating LLM technology with Wolfram Language, covering Chat Notebooks, LLM functions, prompt engineering, and creating custom prompts for enhanced computational workflows.
Comprehensive introduction to machine learning using Wolfram Language, covering data types, feature extraction, classification, prediction, neural networks, and integration with generative AI models like ChatGPT.
Instructor-led daily sessions exploring machine learning fundamentals, covering key concepts, methods, and applications through guided discussions, code examples, and exercises based on Etienne Bernard's book.
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