Introduction

An Introduction to Computer Networks

intronetworks.cs.luc.edu
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Peter L Dordal Department of Computer Science Loyola University Chicago Welcome to the website for An Introduction to Computer Networks, a free and open general-purpose computer-networking textbook, complete with diagrams and exercises. It covers the LAN, internetworking and transport layers, … Read more

Introduction to Data-Centric AI

dcai.csail.mit.edu
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introduction-to-data-centric-ai

IAP 2023 Typical machine learning classes teach techniques to produce effective models for a given dataset. In real-world applications, data is messy and improving models is not the only way to get better performance. You can also improve the dataset … Read more

Hồ Xuân Hương Introduction

nomfoundation.org
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Hồ Xuân Hương was born at the end of the second Lê Dynasty (1592-1788), a period of calimity and social disintegration. Nearly 900 years had elapsed since Ngô Quyền had driven out the Chinese to establish an independent Vietnam, modeled … Read more

Introduction to Datalog

blogit.michelin.io
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introduction-to-datalog

Modern IT systems manage an increasing amount of data, sometimes bound by sophisticated models, that require specific representations of the same information in order to perform translation between various software layers As consequence, software developers have to provide descriptions in … Read more

Introduction to Homotopy Type Theory

arxiv.org
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introduction-to-homotopy-type-theory

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. … Read more

Introduction to Locality-Sensitive Hashing

tylerneylon.com
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introduction-to-locality-sensitive-hashing

Introduction to Locality-Sensitive Hashing 521.2018 [Formats: html | pdf | kindle pdf] Locality-sensitive hashing (LSH) is a set of techniques that dramatically speed up search-for-neighbors or near-duplication detection on data. These techniques can be used, for example, to filter out … Read more