Operating Systems - Introduction
date
Sep 26, 2024
type
Post
AI summary
Il documento discute la classificazione nel NLP, affrontando la differenza tra dati strutturati e non strutturati, introducendo il modello Bag of Words per la rappresentazione delle caratteristiche, e descrivendo vari esempi di classificazione. Viene esaminato il processo di etichettatura dei dati, la classificazione bayesiana, la regressione logistica binaria e multinomiale, e l'importanza dell'ingegneria delle caratteristiche e della normalizzazione delle probabilità. La conclusione sottolinea come la regressione logistica apprenda parametri che pesano l'importanza delle caratteristiche.
slug
gios-introduction
status
Published
tags
Operating Systems
summary
Addresses the challenges of structured vs. unstructured data, and introduces the Bag of Words model for feature representation. Explain why each document can be represented as a point in a d-dimensional feature space.
This note series will discuss key topics regarding operating systems, in particular, OS abstractions, mechanisms, and policies for:
- processes and process management
- threads and concurrency
- resource management: scheduling, memory management
- OS services for communication and I/O
- OS support for distributed services
- systems software for data center and cloud environments
P1L2: Introduction to Operating Systems (Notes Markdown)
Q: In addition, the OS may bring some data into the hardware cache, which will bounce out some other memory used by another application. Accessing data out of cache, say from main memory, may have as much as 100x impact on the performance of some subsequent actions. WHY