In computer science, a retrieval data structure, also known as static function, is a space-efficient dictionary-like data type composed of a collection of (key, value) pairs that allows the following operations: * Construction from a collection of (key, value) pairs * Retrieve the value associated with the given key or anything if the key is not contained in the collection * Update the value associated with a key (optional) They can also be thought of as a function for an universe and the set of keys where retrieve has to return for any value and an arbitrary value from otherwise. In contrast to static functions, support (probabilistic) membership queries and dictionaries additionally allow operations like listing keys or looking up the value associated with a key and returning some other symbol if the key is not contained. As can be derived from the operations, this data structure does not need to store the keys at all and may actually use less space than would be needed for a simple list of the key value pairs. This makes it attractive in situations where the associated data is small (e.g. a few bits) compared to the keys because we can save a lot by reducing the space used by keys. To give a simple example suppose video game names annotated with a boolean indicating whether the game contains a dog that can be petted are given. A static function built from this database can reproduce the associated flag for all names contained in the original set and an arbitrary one for other names. The size of this static function can be made to be only bits for a small which is obviously much less than any pair based representation. (Wikipedia).
Data structures: Binary Search Tree
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed binary search tree data structure. Binary search is an efficient data structure in which we can store data to get search, insertion and de
From playlist Data structures
Hash Tables and Hash Functions
This computer science video describes the fundamental principles of the hash table data structure which allows for very fast insertion and retrieval of data. It covers commonly used hash algorithms for numeric and alphanumeric keys and summarises the objectives of a good hash function. Co
From playlist Data Structures
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
[c] Introduction to Linked Lists
From playlist Data Structures
Stack Data Structure - Algorithm
This is an explanation of the dynamic data structure known as a stack. It includes an explanation of how a stack works, along with pseudocode for implementing the push and pop operations with a static array variable.
From playlist Data Structures
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
Queue Data Structure – Algorithms
This is an explanation of the dynamic data structure known as a queue. It compares a linear queue implemented by means of a dynamic array with a linear queue implemented with a static array. It also includes an explanation of how a circular queue works, along with pseudocode for the enqu
From playlist Data Structures
Data structures: Introduction to stack
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described stack data structure as abstract data type. Lesson on Dynamic memory allocation: http://www.youtube.com/watch?v=_8-ht2AKyH4 For practic
From playlist Data structures
Mathew Cherukara - HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging - IPAM at UCLA
Recorded 14 October 2022. Mathew Cherukara of Argonne National Laboratory presents "HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: he capabilities provided by next generation light sources such as the Adva
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
PROG2005 - 18 - Firestore in Practice
Practical introduction to the use of Firestore with Golang
From playlist 2022 - PROG2005 - Cloud Technologies
SQL vs NoSQL OneShot For Beginners | Difference Between SQL And NoSQL | SQL Tutorial | Simplilearn
There are many databases available in the market, and knowing which one to choose can be extremely difficult.This video by Simplilearn will focus on two popular types of databases SQL and NoSQL which are majorly used these days, This tutorial will help you learn the basics of these two dat
From playlist SQL Tutorial Videos🔥[2022 Updated]
AI Weekly Update - January 24th, 2022
Thank you so much for watching, please subscribe for more Deep Learning and AI videos! Please check out SeMI Technologies on YouTube as well! Paper Links: CM3: https://arxiv.org/abs/2201.07520 data2vec: https://scontent.fmia1-1.fna.fbcdn.net/v/t39.8562-6/271974914_483120576492438_42395223
From playlist AI Research Weekly Updates
Crash Course IR - Fundamentals
In this lecture we explore two fundamental building blocks of information retrieval (IR): indexing and ranked retrieval with TF-IDF and BM25 scoring models. Slides & transcripts are available at: https://github.com/sebastian-hofstaetter/teaching 📖 Check out Youtube's CC - we added our hig
From playlist Advanced Information Retrieval 2021 - TU Wien
Remembering and the Brain: Can Brain Scans Detect Memories?
(October 23, 2009) Stanford Professor of psychology and neuroscience, Anthony Wagner PhD, discusses how the brain supports memory for everyday events, and will evaluate whether "mind reading" with brain imaging can detect when a person remembers the past and how this might be used as evide
From playlist Reunion Homecoming
Ross Harder - Bragg Coherent Diffraction Imaging at the Advanced Photon Source 34-ID Beamline
Recorded 12 October 2022. Ross Harder of the Argonne National Laboratory presents "Bragg Coherent Diffraction Imaging at the Advanced Photon Source 34-ID Beamline" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: The 34-ID-C beamline at the APS is dedicated to Bragg C
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
AI Weekly Update - January 31st, 2022
Thank you so much for watching, please subscribe for more Deep Learning and Ai videos! Please check out SeMI Technologies on YouTube as well, where I am hosting a podcast on Deep Learning for Search! Paper Links: Text and Code Embeddings by Contrastive Pre-Training: https://cdn.openai.com
From playlist AI Research Weekly Updates
Data structures: Introduction to Doubly Linked List
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described doubly linked list data structure. For practice problems and more, visit: http://www.mycodeschool.com Like us on Facebook: https://www
From playlist Data structures
R Programming: Introduction: Data frames (R Intro-03)
[My R notebook file script is here https://github.com/bionicturtle/youtube/tree/master/r-intro] Data frames are the most common structure in R. A data frame is a list of equal-length vectors; ie, it's a rectangle. Create a data frame with data.frame(). Single-brackets, stocks[1], returns a
From playlist R Programming: Intro