😎 Appunti di Dag7
Cerca
Search
Search
Tema scuro
Tema chiaro
Esplora
dev
Ansible
API
Chaos
Cicd
Container
Django
DjangoFAQ
Docker
Dockerfile
Git dont track without remove
Github Gitlab Mixed Setup
Influx
Jinja
Kuber_academy
Kubernetes
Minikube
Monitoring
Pre-commit
Pyenv
Pyshell
RADIUS
Rbac
REST
Restartare qualcosa con notify e handlers
Servacc
Simple Go Setup
Tagvsfield
Telegraf
Vagrant
Yaml
misc
30 Giochi NDS
Archiviare canali Youtube
Cancellare Instagram
Djing
Exploding Kittens
Fixare usb che non scrivono
Garr Academy Diario di Bordo
Imparare a suonare la chitarra
Lista esercizi vari - dinamica - backtracking
Public Speaking Tips
Roguelike Giochi varie console
Settare istanza Nostr
Touhou Project Retroarch
Video - godtier developer roadmap
universitá
magistrale
Big Data Computing
Lectures
01 - Intro
02 - Packet's load tolerance
03 - TCP Offloading, multicore scalability
04 - RDMA
05 - Is RDMA enough
06 - Congestion control
07 - Network topologies
08 - Load Balancing
09 - GPUs TPUs
10 - Storage
11 - Introduction to SparkQL
12 - More on SparkQL - Apache Storm Flink
13 - SECOND PART - Introduction on big data and fundamental algebra
14 - Curse of Dimensionality
15 - Clustering
16 - K-Means
Big Data Computing
Biometric Systems
Lectures
01 - Introduction
02 - General facts
03 - General biometric facts
04 - Different traits recognition
05 - More on evaluations
06 - Confusion and rates
07 - Identification on Closed set
08 - Doddington Zoo
09 - Face recognition
10 - Ear recognition
11 - Iris recognition
12 - Fingerprints
13 - Multibiometrics
Biometric Systems
Blockchain
Lectures
01 - Intro Blockchain
02 - Introduction part 2
03 - Tokens, revisions
04 - CAP Theorem, Hash
05 - Blocks
05 - Trust and 51% attack
06 - UTXO and Balance
07 - Behaviour of every node
08 - Addresses
09 - Consensus
10 - Turing machine and script UTXO
Notes
Double spending problem
Blockchain
Machine Learning
Lectures
01 - Introduction
02 - Performance evaluation and classification
03 - Decision Trees
04 - Probability in ML
05 - Bayesan Learning
06 - Probabilistic models and logistic regression
07 - Perceptron - linear models for classification
08 - Non ho seguito
09 - Linear models for regression
Notes
Verification vs. Validation
Machine Learning
triennale
algoritmi-2
🌡️Algoritmi 2
Backtracking
BFS
DFS
Dynamic Programming
Grafi
Memoization
Tabulation Recipe
ingegneria-del-software
i-requisiti
I requisiti
Requirements Engineering Processes - specifiche dei requisiti
Requirements Validation Tecniques
testing
I diversi tipi di test
Testing
Agile e SCRUM
Architectural Pattern
Ingegneria del Software
Introduzione
Processi di modellizzazione
UML
V-Model, Plan-driven vs. Incrementale
Verifica e validazione dei requisiti
ium
IUM
IUM - Compendio
IUM - Raw
🏢 OGA
🖨️ Architetture
Algebra
Computer Graphics
Linguaggi e Compilatori
LTW
Sistemi Digitali
Home
❯
universitá
❯
triennale
❯
algoritmi 2
Cartella: universitá/triennale/algoritmi-2
8 oggetti in questa cartella.
24 feb 2024
🌡️Algoritmi 2
24 feb 2024
Backtracking
24 feb 2024
BFS
24 feb 2024
DFS
24 feb 2024
Dynamic Programming
24 feb 2024
Grafi
24 feb 2024
Memoization
24 feb 2024
Tabulation Recipe