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Learn to build a robust image classifier using advanced techniques like data augmentation, transfer learning, and learning rate scheduling.
Explore upcoming calculus and algebra features in Wolfram Language, including performance improvements, new functions, and algorithmic advances for symbolic and numerical computations.
Explore chemical reaction modeling using token-event graphs and new Wolfram Language functions, with examples from organic chemistry and terpene biosynthesis.
Explore interactive Mathematica features for real-time analysis of advanced imaging systems, focusing on polarization effects in AR/VR optics design and visualization techniques.
Explore advanced PDE modeling techniques using NDSolve and finite element methods for engineering applications, including axisymmetric regions and hyperelastic solid mechanics.
Explore natural language processing for computational templates using question answering systems. Learn to extract parameters from text for various workflows in data science and machine learning.
Explore uncertainty in subjective logic, from Markov networks to quantum quasiprobabilities, gaining insights on computational irreducibility and belief spaces.
Explore the structure and functionality of Paclets, essential components in Wolfram's ecosystem for extending and customizing capabilities.
Explore virtual origami using Mathematica, focusing on traditional techniques with mathematical formalism. Learn about fold rules, classical folds, and create a flying crane model.
Explore new features in Mathematica's 2D/3D graphics, including DropShadowing, Blur, AbsoluteOptions, and 3D Camera interactions. Learn to customize rendering with SurfaceAppearance.
Gain insights from multiomics data using ParetoGP, exploring key variables and generating interpretable models for cancer therapeutics and bone regeneration.
Explore the construction of Wolfram's notebook toolbar using front-end technologies and attached cells for efficient control elision in this implementation deep dive.
Develop high-quality cell-level UI tools using the cell tray widget interface, organized into trays near cell brackets for efficient management.
Explore advancements in graph theory and network analysis, uncovering applications in various fields and enhancing problem-solving skills.
Explore Wolfram|Alpha Notebook Edition's no-code computational power for interactive classroom lessons and tools across all grade levels.
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