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Giro Seasonal Merinould cykelstrømper

Giro Seasonal Merinould cykelstrømper

Giro seasonal merinould cykelstrømper til dedikerede cyklister Giro Seasonal Merinould cykelstrømper er designet med fokus på cyklistens behov. Disse strømper henvender sig til dedikerede cyklister, der værdsætter kvalitet og funktionalitet i deres cykeludstyr. Mid-calf højde for optimal komfort. Passer til skostørrelse 43-45. Brandnavnet Giro er synligt på strømperne. Fremstillet af merinould. Funktionelt design med naturlige materialer Disse cykelstrømper skiller sig ud ved deres gennemtænkte design og valg af materialer. Merinould er berømt for sine temperaturregulerende egenskaber, hvilket kan bidrage til en behagelig følelse under cykling. Mid-calf højden giver god dækning under cykelture. Alsidige strømper til forskellige vejrforhold Giro Seasonal Merinould cykelstrømper er udviklet til at være anvendelige året rundt. Uanset om du cykler i varme eller kølige vejrforhold, er disse strømper designet til at tilpasse sig forskellige temperaturer. Strømperne er lavet til at passe skostørrelser 43-45, hvilket giver en god basis for komfort under dine cykelture. De kan bruges som en pålidelig del af dit cykeludstyr i forskellige sæsoner.Vi kan anbefale, at du også tager et kig på kategorien Cykelstrømper.

DKK 89.00
2

Relevance Raises Response - Bog af Bob Bentz - Paperback

Relevance Raises Response - Bog af Bob Bentz - Paperback

RELEVANCE RAISES RESPONSE and that is precisely why mobile marketing is the greatest advertising and marketing medium of all-time. Mobile offers the uncanny ability to laser target your audience by providing the best offer, at the best time, when the targeted customer is most likely to engage and buy.THE CHAPTERSIn Relevance Raises Response: How to Engage and Acquire with Mobile Marketing, author Bob Bentz takes you through all of the major elements that contribute to mobile marketing success in..

DKK 447.95
2

Machine Learning Safety - Xiaowei Huang - Bog - Springer Verlag, Singapore - Plusbog.dk

Machine Learning Safety - Xiaowei Huang - Bog - Springer Verlag, Singapore - Plusbog.dk

Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers'' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.

DKK 561.00
3