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May 23, 2024 · Entropy is the measure of the amount of missing information before reception. Often called Shannon entropy, it was originally devised by Claude Shannon in 1948 to study the size of information of a transmitted message.
3 days ago · Entropy is a measure of the thermal energy unavailable for doing useful work and the molecular disorder of a system. Learn how entropy relates to the second law of thermodynamics, heat engines, and spontaneous processes with examples and equations.
4 days ago · Information theory. In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes. Given a discrete random variable , which takes values in the set and is distributed according to , the entropy is.
May 25, 2024 · Understanding these principles helps engineers and scientists optimize systems for efficiency, sustainability, and performance. This article details the eight key types of entropy generation in thermodynamics, highlighting how energy disperses in various systems and processes.
2 days ago · The Energy-Entropy Connection. As indicated above, intimately related to entropy is energy, a quantity that is difficult to define sharply. Commonly, students in beginning physics learn about kinetic energy, the energy of motion. The faster an object moves, the more kinetic energy it has.
9 hours ago · Understanding entropy is crucial in many areas, including industrial processes, environmental sciences, and even biology. In industrial processes, engineers try to minimize the amount of lost energy, as it is not only wasteful but also costly. In environmental sciences, the increase of entropy is one of the primary causes of pollution.
May 16, 2024 · In the realm of machine learning, entropy measures the level of disorder or uncertainty within a dataset. This metric, while rooted in the principles of thermodynamics and information theory, finds a unique and invaluable application in the domain of machine learning.
