Information theory

Wilson's model of information behavior

Wilson's model of information seeking behaviour was born out of a need to focus the field of information and library science on human use of information, rather than the use of sources. Previous studies undertaken in the field were primarily concerned with systems, specifically, how an individual uses a system.Very little had been written that examined an individual's information needs, or how information seeking behaviour related to other task-oriented behaviours. Thomas D. Wilson's first model came from a presentation at the University of Maryland in 1971 when "an attempt was made to map the processes involved in what was known at the time as "user need research". (Wikipedia).

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What Are Reactive Systems?

Reactive Systems use a high-performance software architecture. They are resilient under stress, and their reactive design allows them to scale elastically to meet demand. The reactive design approach allows the creation of more complex, more flexible systems and forms the basis for some of

From playlist Software Engineering

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Discrete-Time Dynamical Systems

This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/

From playlist Data-Driven Dynamical Systems

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Hidden Markov Model : Data Science Concepts

All about the Hidden Markov Model in data science / machine learning

From playlist Data Science Concepts

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(IC 1.6) A different notion of "information"

An informal discussion of the distinctions between our everyday usage of the word "information" and the information-theoretic notion of "information". A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F Attribution for image of TV static:

From playlist Information theory and Coding

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Data Science - Part III - EDA & Model Selection

For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture introduces the concept of EDA, understanding, and working with data for machine learning and predict

From playlist Data Science

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Mark C. Mescher - A Natural History of Information

In this talk, I discuss the role of information in biology from an evolutionary perspective. I will define information as a biological concept and argue that Darwinian evolution is fundamentally an information-centric process. Building on that idea, I will discuss how key transitions in ev

From playlist LSC 2022

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Artificial Intelligence

This lecture discusses artificial intelligence (AI) in the context of data science and machine learning. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

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Abstract data types

An Introduction to Abstract Data Types ADT Data Structures Source Code: https://github.com/williamfiset/algorithms My website: http://www.williamfiset.com =================================== Practicing for interviews? I have used, and recommend `Cracking the Coding Interview` which go

From playlist Data structures playlist

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RailsConf 2021: How Reference Librarians Can Help Us Help Each Other - Mike Calhoun

In 1883, The Boston Public Library began hiring librarians for reference services. Since then, a discipline has grown around personally meeting the needs of the public, as Library Science has evolved into Information Science. Yet, the goal of assisting with information needs remains the sa

From playlist RailsConf 2021

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Roland Bauerschmidt - Perspectives on the renormalisation group approach

The goal of this talk is to review some of the successes but also the outstanding challenges of the renormalisation group approach to the Ising and \varphi^4 models. I will also try to describe a common perspective of the usual approach to the renormalisation group based on perturbation th

From playlist 100…(102!) Years of the Ising Model

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Spotlight: From Math to Ants

Strip away the trimmings of a traditional science presentation, add cocktails, and you have WSF Spotlight. As a young girl, Corina Tarnita found herself with a talent for mathematics, something she had thought was the norm. As she grew up, however, she quickly realized the difficulties of

From playlist SPOTLIGHT: Innovation from Unexpected Places

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Types of Machine Learning 2

This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels. We also discuss the different methods to handle discrete versus continuous labels. Book websit

From playlist Intro to Data Science

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Sensory Processing in a Small Brain - Rachel Wilson

Rachel I. Wilson, Professor of Basic Research in the Field of Neurobiology at Harvard Medical School, discussed the fundamental neural computations underlying sensory processing in the Drosophila central nervous system, as well as the biophysical mechanisms that implement those computation

From playlist Wu Tsai Neurosciences Institute

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An Introduction to Tensor Renormalization Group (Lecture 4) by Daisuke Kadoh

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

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Ising Spin and Gauge on Hyperbolic Lattices by Judah Unmuth- Yockey

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

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Integrability in Planar AdS/CFT, Yangian Symmetry and Applications (Lectre 2) by Niklas Beisert

Infosys-ICTS String Theory Lectures Integrability in Planar AdS/CFT, Yangian Symmetry and Applications Speaker: Niklas Beisert (ETH Zurich) Date: 13 May 2019 to 15 May 2019 Venue: Emmy Noether Seminar Room, ICTS Bangalore Lecture 1: May 13, 2019 at 11:30 am Lecture 2: May 14, 2019

From playlist Infosys-ICTS String Theory Lectures

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Lattice N=4 Supersymmetric Yang--Mills by David Schaich

Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography DATE:27 January 2018 to 03 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore The program "Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography" aims to

From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography

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Lattice Supersymmetric Field Theories (Lecture 3) by David Schaich

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

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Recent Results on Finite Group Lattice Gauge Theories - Sky Yang Cao

Members' Colloquium Topic: Recent Results on Finite Group Lattice Gauge Theories Speaker: Sky Yang Cao Affiliation: Member, School of Mathematics Date: March 20, 2023 The rigorous study of spin systems such as the Ising model is currently one of the most active research areas in probabil

From playlist Mathematics

Related pages

Information behavior