Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment und Funktionen

Assortiment et recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Merced Alex: Apache Polaris - The
Definitive Guide

Apache Polaris - The Definitive Guide

Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog

Synthesis Lectures on Information Concepts, Retrieval, and Services

The Domain of UX in Information Studies: Bridging Theories, Research, and Professional Practice

Machine Learning For Dummies

This Second Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field. This topic, and fashion compatibility modeling in particular, has garnered increasing research attention in recent years due to the significant economic impact of e-commerce. Building upon recent research and the prior edition, the authors present a series of graph-learning based multimodal compatibility modeling schemes, all of which have been proven to be effective over several public real-world datasets. This second edition introduces a number of advanced multimodal compatibility modeling and recommendation methods, including category-guided multimodal compatibility modeling and try-on-guided multimodal compatibility modeling. The authors also provide comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning.In addition, this book:<ul><li>Presents graph-learning based multimodal compatibility models, which have been proven effective over real-world datasets</li><li>Introduces models for recommendation tasks that require user preference modeling as well as retrieval tasks</li><li>Highlights research frontiers to inspire future directions for scientists and researchers in this developing field</li></ul>

Advanced Multimodal Compatibility Modeling and Recommendation

In an era where technological behemoths wield unprecedented power over the digital landscape, this book is a call for autonomy, security, and innovation through the open-source revolution. It not only challenges the status quo but also unfolds a blueprint for corporate transformation through the lens of open-source philosophy.

Harnessing the Power of Open-Source in the Corporate World

Open for Business

A revised introduction to the Linux operating system for beginning hackers and penetration testers. If you’re just getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent introduction. With Kali Linux, an operating system designed for digital forensics and penetration testing, you’ll learn the basics of using Linux and acquire the tools and techniques you’ll need to take control of a Linux environment. First, you’ll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you’ll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You’ll then focus on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python.&nbsp; Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to: <ul><li>Cover your tracks by changing your network information and manipulating the journalctl logging utility</li><li>Write a tool to scan for network connections, and connect and listen to wireless networks</li><li>Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email</li><li>Write a bash script to find potential attack targets over a range of IP addresses</li><li>Use and abuse services like MySQL, the Apache web server, and OpenSSH</li><li>Build your own hacking tools, such as remote spy cameras and password crackers</li></ul> New to this edition: This second edition has been updated to address recent changes to Kali&nbsp; and Linux, including a more secure approach to&nbsp; root privileges, updates to Bluetooth and Linux logging functions, and a new chapter with advice&nbsp;on AI in cybersecurity. Hacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers?

Getting Started with Networking, Scripting, and Security in Kali

Linux Basics for Hackers, 2nd Edition

Data Driven Applications for Emerging Technologies

This cookbook shows data engineers, data scientists, data analysts, and cloud architects how to use Dataproc, integrated with Google Cloud, for data lake modernization, ETL, and secure data science at a fraction of the cost.

Running Spark and Hadoop Workloads in Google Cloud

Dataproc Cookbook

Execute a data strategy to improve your business decisions, build stronger products and gain a competitive advantage for your business.

How to Use Data and Artificial Intelligence to Transform Your Business

Data Strategy

Synthesis Lectures on Data Management

This book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series and presents a general taxonomy for event detection. This taxonomy includes (i) granularity of events (punctual, contextual, and collective), (ii) general strategies (regression, classification, clustering, model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and motif discovery. The book discusses state-of-the-art metric evaluations for event detection methods and also provides a dedicated chapter on online event detection, including the challenges and general approaches (static versus dynamic), including incremental and adaptive learning. This book will be of interested to graduate or undergraduate students of different fields with a basic introduction to data science or data analytics.In addition, this book:&nbsp;<ul><li>Develops a taxonomy covering granularity of events, general strategies, methods, machine learning processing, and data management</li><li>Provides a unified overview of the major types of time series events: anomalies, change points, and motifs</li><li>Discusses state-of-the-art metric evaluations for event detection methods as well as online event detection</li></ul>

Event Detection in Time Series

An essential companion to The Rust Programming Language, 2nd Edition, offering targeted exercises to enhance beginners' skills in reading and writing Rust code. The Rust Programming Language Workbook provides short coding exercises inspired by the rustlings project and organized by topic. The workbook starts with concepts common to many programming languages today like variables, data types, and functions then moves on to important Rust concepts like move semantics, structs, and enums. Short introductions of the concepts are followed by exercises that are intentionally broken. Readers need to change the code or add code to fix each exercise. The workbook also provides hints and example solutions to help beginners get unstuck.

The Rust Programming Language Workbook

Python Automation For Dummies

Apache Polaris - The Definitive Guide

Autres titres sur ce thème