<div class="raw-html-embed"> Kennen Sie schon unseren Geschäftskundenservice? <a href="/fuer-geschaeftskunden">Wir beraten Sie gerne</a>.</div>

NL_Doormat: Hintergrundfarbe des Newsletter Banners unten in der Doormat. Mit # eingeben z.B. #1405BE

NL_Doormat: Verlinkung zur Newsletter Seite

Über uns

À propos de nous

Zahlung und Lieferung

Paiement et livraison

Nachhaltigkeit

Durabilité

Open Access

Datenschutz

Protection des données

Karriere

Carrière

Impressum

Mentions légales

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

Muhammad Fasih Ullah: Advanced Snowflake

Advanced Snowflake

Processing Data, Developing Applications, and Deploying ML Models at Scale

"This book covers how to build software products with machine-learning components and provides a holistic view of ML systems built to achieve safety, security, usability, fairness in the real world"--

A practical and innovative textbook detailing how to build real-world software products with machine learning components, not just models. Traditional machine learning texts focus on how to train and evaluate the machine learning model, while MLOps books focus on how to streamline model development and deployment. But neither focus on how to build actual products that deliver value to users. This practical textbook, by contrast, details how to responsibly build products with machine learning components, covering the entire development lifecycle from requirements and design to quality assurance and operations. Machine Learning in Production brings an engineering mindset to the challenge of building systems that are usable, reliable, scalable, and safe within the context of real-world conditions of uncertainty, incomplete information, and resource constraints. Based on the author’s popular class at Carnegie Mellon, this pioneering book integrates foundational knowledge in software engineering and machine learning to provide the holistic view needed to create not only prototype models but production-ready systems. •&nbsp;&nbsp;&nbsp;Integrates coverage of cutting-edge research, existing tools, and real-world applications •&nbsp;&nbsp;&nbsp;Provides students and professionals with an engineering view for production-ready machine learning systems •&nbsp;&nbsp;&nbsp;Proven in the classroom •&nbsp;&nbsp;&nbsp;Offers supplemental resources including slides, videos, exams, and further readings

From Models to Products

Machine Learning in Production

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As polymeric membranes can be used for both gas and liquid separations, along with several other applications, they provide a bypass route to separation due to several fold benefits over traditional techniques. Sections cover the role of Machine Learning in membranes design and development, fouling mitigation, and filtration systems. Machine Learning in a wide variety of polymeric membranes, such as nanocomposite membranes, MOF based membranes, and disinfecting membranes are also covered. This book will serve as a useful tool for researchers in academia and industry, but will also be an ideal reference for students and teachers in membrane science and technology who are looking for new ways to develop state-of-the-art membranes and membrane technologies for liquid and gas separations, such as wastewater treatment and CO2 mitigation.

Machine Learning for Membrane Separation Applications

Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the intersection of machine learning and cyber security, particularly around the problem of malware targeting the Windows platform.This useful volume's contributions come from a range of experts, representing large companies, major universities, and government labs, all working at the frontiers of malware detection and remediation research.

Machine Learning For Malware Detection

This book focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of Diabetes Mellitus.

This book focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of Diabetes Mellitus.

Deep Learning in Diabetes Mellitus Detection and Diagnosis

Motion Control of Soft Robots provides an overview of the general concepts and most recent technological updates in soft robot motion control. The book provides systematic coverage of theoretical and practical aspects in system modeling and motion control strategies, presenting novel ideas, methods, and future outlook related to motion control of soft actuators and robots, including model-based control, model-free control, and bioinspired control. This book is useful for researchers, engineers, and students of robotics who can expect to learn how to design and implement various techniques to obtain solutions to control problems in soft robot control and nonlinear system control.

Motion Control of Soft Robots

The MICCAI Society book Series

Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main approaches and state-of-the-art models and includes a broad array of applications in medical image segmentation, including healthcare, oncology, cardiology and neuroimaging. A key objective is to make this mathematical subject accessible to a broad engineering and computing audience by using a large number of intuitive graphical illustrations. The emphasis is on giving conceptual understanding of the methods to foster easier learning. This book is highly suitable for researchers and graduate students in computer vision, machine learning and medical imaging.

Scenarios, Models and Optimization

Less-supervised Segmentation with CNNs

The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in artificial intelligence, machine learning, data science, and their multifaceted applications.

Emerging Trends in Computer Science and Its Application

How AI Learned to Talk and What It Means

These Strange New Minds

An Introduction to String Algorithms

This text presents innovative research-oriented ideas, and the implementation and socio-economic applications of internet of things-based network. It showcases smart waste management, optical technologies for internet of things, and remote patient monitoring and data analysis.

This text presents innovative research-oriented ideas, and the implementation and socio-economic applications of internet of things-based network. It showcases smart waste management, optical technologies for internet of things, and remote patient monitoring and data analysis.

Challenges and Solutions in Internet of Things-Based Smart Applications

Sybex Study Guide

A practical and comprehensive guide to the AWS Certified Security exam and your next AWS cloud security job In the newly revised second edition of AWS Certified Security Study Guide: Specialty (SCS-C02) Exam, a team of veteran Amazon Web Services cloud security experts delivers a comprehensive roadmap to succeeding on the challenging AWS Certified Security Specialty certification exam. You'll prepare for the exam faster and smarter with authoritative content, an assessment test, real-world examples, practical exercises, and updated chapter review questions. You'll also acquire the on-the-job skills you need to hit the ground running in your next AWS cloud security position. This book offers complete coverage of every tested exam objective, including threat detection, incident response, security logging and monitoring, cloud infrastructure security, identity and access management (IAM), data protection, and management and security governance. It also includes: <ul> <li>Complimentary access to the hands-on, digital Sybex learning environment and test bank, with hundreds of practice questions, flashcards, and a glossary of important terminology, accessible from a wide variety of devices</li> <li>All the material you need to conquer the difficult SCS-C02 exam on your first attempt</li> <li>Quick reference material ideal for fast on-the-job use in any AWS cloud security-related role</li> </ul> An up-to-date and essential study companion for anyone preparing to take the AWS Certified Security (SCS-C02) exam, this study guide is also ideal for aspiring and practicing AWS cloud security professionals seeking a refresher on critical knowledge you'll need every day at your current or next job.

Specialty (Scs-C02) Exam

AWS Certified Security Study Guide

A no-fluff guide to implementing best security practices for microservices in the cloud written by a team of experienced security engineers at Snapchat. This book takes you through every step of secure software development and deployment for microservices – the discrete functions within a larger application. Readers begin by exploring core security tenets, then dive into developing microservices and securing infrastructure. Along the way, they’ll gain the skills to think like a security engineer at scale and effectively plan secure designs. Each chapter provides step-by-step explanations of vital concepts, practical examples, mistakes to look out for, and quizzes to test the reader’s knowledge. Whether you’re a one-person security team or a larger group, this book equips you with the skills to build a full-fledged microservices security discipline.

A no-fluff guide to implementing best security practices for microservices in the cloud written by a team of experienced security engineers at Snapchat. This book takes you through every step of secure software development and deployment for microservices – the discrete functions within a larger application. Readers begin by exploring core security tenets, then dive into developing microservices and securing infrastructure. Along the way, they’ll gain the skills to think like a security engineer at scale and effectively plan secure designs. Each chapter provides step-by-step explanations of vital concepts, practical examples, mistakes to look out for, and quizzes to test the reader’s knowledge. Whether you’re a one-person security team or a larger group, this book equips you with the skills to build a full-fledged microservices security discipline.

Securing Cloud Native Apps

Advanced Snowflake

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel zum Thema