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).
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
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
Hidden Markov Model : Data Science Concepts
All about the Hidden Markov Model in data science / machine learning
From playlist Data Science Concepts
(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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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