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Wolfram U offers free open interactive courses, learning events and other educational resources for professional and technical development.
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.
Enhance external data sources using Wolfram tools. Import, clean, structure, visualize, and publish data with practical examples in this comprehensive two-part video tutorial.
In-depth introduction to wavelets, covering basic concepts to advanced methods. Learn decomposition, transforms, algorithms, visualizations, and applications in signal processing, time series analysis, and more.
Explore calculus operations, derivatives, integrals, and differential equations using Wolfram Language functions. Gain insights into symbolic computing and real-world applications with interactive graphics.
Comprehensive introduction to differential equations, covering first- and second-order equations, systems, and applications. Includes interactive lessons, problem sessions, and self-assessment tools for natural sciences and engineering.
Explore discrete calculus foundations, including sequences, series, and probability. Learn Wolfram Language syntax for basic computations and mathematical notation in this comprehensive introduction.
Explore fractional calculus using Wolfram Language: compute derivatives, apply Laplace transforms, and solve linear fractional differential equations. Gain practical skills for advanced mathematical modeling.
Master statistics fundamentals with interactive videos, problem sessions, and exercises. Learn data visualization, descriptive statistics, confidence intervals, and hypothesis testing through practical examples.
Comprehensive introduction to probability and statistics using real-world examples. Covers basic concepts, random variables, distributions, and applications. Prepares for various fields and professional exams.
Explore Mathematica's powerful features: interactive notebooks, calculations, graphics, data analysis, and presentations. Learn from experts and create dynamic computational documents.
Explore audio processing in Wolfram Language: effects, synthesis, and analysis techniques for AI applications in music, speech, and broadcasting.
Learn to process audio with AI using Wolfram Language. Build classifiers, adapt networks, and analyze data. Explore convolutional and recurrent neural networks, transfer learning, and network surgery techniques.
Explore machine learning paradigms and apply built-in Wolfram Language functions for data analysis, classification, prediction, and more using various data types.
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