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Related lectures (31)
Machine Learning for Physicists/Chemists: Image Classification
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Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.
Sphere Geometry: Properties and Projections
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Explores sphere properties, projections, and symmetry, including apparent contours and missing projections of points.
Boltzmann Machine
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Covers the Boltzmann Machine, a type of stochastic recurrent neural network.
Inheritance: Polymorphism & Casting
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Covers inheritance, polymorphism, and casting in object-oriented programming, emphasizing code factorization and generic object manipulation.
Shadows in Descriptive Geometry
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Covers perpendicular planes, plane traces, and shadows in descriptive geometry.
Engineering brain activity patterns for therapeutics
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Discusses correcting aberrant brain-wide activity patterns using distinct network motifs and neuromodulators.
Preclinical Animal Models: Selection & Rationale
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Explores the selection and rationale of preclinical animal models in drug development, emphasizing the 10 to 15-year path to a marketed small-molecule drug.
Descriptive Geometry: Cones and Cylinders
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Explores section planes of circular cones and their intersections with lines.
Forces in Articulation: Calculations and Applications
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Discusses the calculation of forces in joints, their types, applications, terminology, methods, and benefits for students.
Water Quality Modelling: Equilibrium Phases
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Explores equilibrium phases in water quality modelling, illustrating with examples of mineral precipitation and pH adjustment.
Descriptive Geometry: The Sphere
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Explores descriptive geometry concepts related to spheres, including sectioning by planes and intersection with lines.
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