Lehrling – Bücher, CDs, DVDs und mehr, Seite 7

Jonas Fuchs

Hybride Deep Learning-Verfahren zur Interferenzunterdrückung und hochauflösenden Winkelschätzung für Automobilradaranwendungen

Zwei grundlegende Herausforderungen für das Automobilradar betreffen die Robustheit gegenüber Interferenzen im gleichen Frequenzband, sowie die Verbesserung der Winkelauflösung zur präzisen Lokalisierung …

Richard Strauss - "Die Zeit, die ist ein sonderbar' Ding" (Hörbiografie und Briefe)

Gert Heidenreich, Alexander Duda, Symphonieorchester des Bayerischen Rundfunks, Franz Welser-Möst

Paul Dukas (1865-1935)

Symphonie C-dur

Margaret Fingerhut (Klavier), Ulster Orchestra, BBC Philharmonic Orchestra, Yan Pascal Tortelier

Linos Piano Trio - Stolen Music

Linos Piano Trio

Asterix und das Geheimnis des Zaubertranks (Ultra HD Blu-ray & Blu-ray)

Wir befinden uns im Jahre 50 v.Chr. Ganz Gallien ist von den Römern besetzt... Ganz Gallien? Nein! Das unbeugsame Volk leistet natürlich zu jeder Zeit Widerstand! Der Druide Miraculix sorgt sich um die Zu…

Clive Gifford

Computer Kids: Learning Online

A fun first series introducing readers to the first steps in learning online

Seine bekanntesten Sketche

Machine Learning for Cyber Security

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and secur…

Micki Evans, Charity Marcella Moran, Erin Sanchez

Place-Based Learning

"How does a sense of place shape community involvement? How might teachers empower students to confront oppressive societal structures and advocate for equity in their communities? Authors Micki Evans, Ch…

David Ryckelynck, Nissrine Akkari, Fabien Casenave

Manifold Learning

This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers…

Paul Dukas (1865-1935)

Symphonie C-dur

Orchestre National de France, Leonard Slatkin

Strukturdaten Distance Learning/Distance Education 2023

In the light of rapid technological developments and a comprehensive digitalisation of society and the world of work, lifelong learning is becoming increasingly important. Non-academic and higher educatio…

Uwe Lorenz

Reinforcement Learning

In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren. Robotische Systeme üben ihre Bewegungen selbst. …

Aneesh Sreevallabh Chivukula, Xinghao Yang, Wanlei Zhou, Wei Liu

Adversarial Machine Learning

A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used t…

Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

Voluntourism and Language Learning/Teaching

This edited volume extends current voluntourism theorizing by critically examining the intersections among various forms of work-leisure travel and language learning/teaching. The book s contributors inve…

Stefan Hammel

Learning Therapeutic Storytelling

The book provides a hypnosystemically grounded introduction to therapeutic storytelling in medicine, child therapy, adult psychotherapy, couples therapy, family therapy, social work, pastoral care, educat…

Art, Sustainability and Learning Communities

By engaging with education, contemporary art and global sustainability goals, this book connects the artistic way of communication with ecological obligations and social issues and promotes a sense of act…

Khanh Luong, Richi Nayak

Multi-aspect Learning

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-ar…