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Related lectures (50)
Fundamentals of Electromagnetic Waves and Their Properties
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Provides an overview of electromagnetic wave properties, including speed, refraction, frequency spectrum, and polarization.
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Heat Capacity and Degrees of Freedom in Thermodynamics
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Covers heat capacity, degrees of freedom, and their implications in thermodynamics.
Deep Learning: Principles and Applications
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Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.
Boltzmann Machine
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Covers the Boltzmann Machine, a type of stochastic recurrent neural network.
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Mechanobiology: Introduction and Cellular Responses
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Introduces mechanobiology, covering cellular responses to mechanical stimuli and the mechanical properties of living tissues.
Heat Exchangers: Fundamentals and Applications
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Explores the fundamentals of heat exchangers, including conduction, convection, and temperature profiles, with practical examples.
Improving Density Predictions in Machine Learning
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Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Neuro-symbolic Representations: Commonsense Knowledge & Reasoning
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Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.
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