Introduction to Sets and Set Notation
This video defines a set, special sets, and set notation.
From playlist Sets (Discrete Math)
Introduction to sets || Set theory Overview - Part 1
A set is the mathematical model for a collection of different things; a set contains elements or members, which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, or even other #sets. The #set with no element is the empty
From playlist Set Theory
Data Structures: List as abstract data type
See complete series of videos in data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&feature=view_all In this lesson, we will introduce a dynamic list structure as an abstract data type and then see one possible implementation of dynamic list using
From playlist Data structures
Higher data structures | Data structures in Mathematics Math Foundations 163
Lists, ordered sets (osets), multisets (msets) and sets are the four key types of data structures. In this video we begin looking at how we can combine these types in a nested fashion, by considering for example lists of lists, or sets of msets etc. This will give us a lot more flexibili
From playlist Math Foundations
Sets and other data structures | Data Structures in Mathematics Math Foundations 151
In mathematics we often want to organize objects. Sets are not the only way of doing this: there are other data types that are also useful and that can be considered together with set theory. In particular when we group objects together, there are two fundamental questions that naturally a
From playlist Math Foundations
Data structures: Introduction to Trees
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described tree data structure as a logical model in computer science. We have briefly discussed tree as a non-linear hierarchical data structure, i
From playlist Data structures
Introduction to sets || Set theory Overview - Part 2
A set is the mathematical model for a collection of different things; a set contains elements or members, which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, or even other #sets. The #set with no element is the empty
From playlist Set Theory
[c] Introduction to Linked Lists
From playlist Data Structures
Data structures: Introduction to graphs
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described Graph data structure as a mathematical model. We have briefly described the concept of Graph and some of its applications. For practice
From playlist Data structures
What Lies Beneath - A Deep Dive Into Clojure's Data Structures - Mohit Thatte
Immutable, persistent data structures are at the heart of Clojure's philosophy. It is instructive to see how these are implemented, to appreciate the trade-offs between persistence and performance. Lets explore the key ideas that led to effective, practical implementations of these data st
From playlist Clojure, Lisp
Live CEOing Ep 533: Language Design in Wolfram Language [Future of Arrays]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram
From playlist Behind the Scenes in Real-Life Software Design
Sushmita Roy: "Regulatory network inference on developmental and evolutionary lineages"
Computational Genomics Winter Institute 2018 "Regulatory network inference on developmental and evolutionary lineages" Sushmita Roy, University of Wisconsin Madison Institute for Pure and Applied Mathematics, UCLA March 2, 2018 For more information: http://computationalgenomics.bioinfor
From playlist Computational Genomics Winter Institute 2018
Serena Yeung - Computer Vision for Segmenting & Analyzing Subcellular Components in CE Tomography
Recorded 15 November 2022. Serena Yeung of Stanford University presents "Developing Computer Vision Methods for Segmenting and Analyzing Subcellular Components in Cryo-Electron Tomography" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: CryoET technology is generating sig
From playlist 2022 Cryo-Electron Microscopy and Beyond
Alan Yuille: "Unsupervised Compositional Learning of Object Models"
Graduate Summer School 2012: Deep Learning, Feature Learning "Unsupervised Compositional Learning of Object Models" Alan Yuille, UCLA Institute for Pure and Applied Mathematics, UCLA July 13, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-sc
From playlist GSS2012: Deep Learning, Feature Learning
The Inference of Nature: Cause and Effect in Molecular Biology, Sarah Teichmann
Theoretical approaches have always played an important role in biology, dating back to Mendel’s peas. In today’s era of genomics and big data in biology, statistical and computational tools are even more vital for biologists seeking to infer causation in living systems. To illustrate the
From playlist Franke Program in Science and the Humanities
Accelerating Use of the Digital Medical Record with Optimized Structured & Unstructured Data
Clinical data in its raw form is incredibly challenging to use. The inherent variation in source documentation, wide range of terminologies, and fragmented storage of data across the healthcare system all contribute to its complexity. Clinical data, however, can also be an incredible, str
From playlist Healthcare NLP Summit 2022
Jens Eisert: "Learning dynamical laws from data in classical and quantum settings"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Learning dynamical laws from data in classical and quantum settings" Jens Eisert - Freie Universität B
From playlist Machine Learning for Physics and the Physics of Learning 2019
MF150: What exactly is a set? | Data Structures in Mathematics Math Foundations | NJ Wildberger
What exactly is a set?? This is a crucial question in the modern foundations of mathematics. Here we begin an examination of this thorny issue, first by discussing the usual English usage of the term, as well as alternate terms, such as collection, aggregate, bunch, class, menagerie etc th
From playlist Math Foundations
O'Reilly Webcast: Data Modeling for Google App Engine using Python and ndb
An introduction to data modeling for scalable web applications using Google App Engine, Python, and the ndb library. This talk covers features of the App Engine datastore and how to use them from ndb, including creating and manipulating entities, performing pre-indexed queries, and enforci
From playlist O'Reilly Webcasts 2