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Immersive Learning Research Network
This volume constitutes the refereed proceedings of the 5th International Conference of the Immersive Learning Network, iLRN 2019, held in London, UK, in June 2019. The 18 revised full papers and presented in this volume were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on science, technology, engineering, and mathematics (STEM); disciplinary applications: special education; disciplinary applications: history; pedagogical strategies; immersion and presence.
Advances and Trends in Artificial Intelligence. From Theory to Practice
This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.
Foundations of Intelligent Systems
This book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications.
Machine Learning Grundlagen
Machine Learning ist eines der wichtigsten Teilgebiete der künstlichen Intelligenz und dringt immer weiter in unseren Alltag vor. Aber wie funktioniert es eigentlich und wie lassen sich die ersten Schritte in dieser faszinierenden Technologie machen? Genau hier setzt dieser Kurs an: Er erklärt die Funktionsweise und die Grundlagen von Machine Learning von Anfang an. Dazu lernen Sie Schritt für Schritt ein neuronales Netz in Python zu programmieren, das am Ende des Kurses in der Lage ist, Klassifikationen wie die Erkennung von Ziffern durchzuführen. Auf dem Weg dorthin erklärt Ihnen Roxane Koitz-Hristov, was es mit Klassifikation und Regression, Neuronen, Backpropagation, Aktivierungsfunktionen und vielem mehr auf sich hat. Ihr neu erworbenes Wissen können Sie dann gleich anhand von Aufgaben am Ende jedes Kapitels anwenden und vertiefen. Dabei werden außer grundlegenden Programmierkenntnissen in einer beliebigen Programmiersprache keine Vorkenntnisse vorausgesetzt. Steigen Sie also in die Welt des Machine Learnings ein und lernen Sie ihre eigenen neuronalen Netze zu programmieren!
Advances and Trends in Artificial Intelligence. From Theory to Practice
This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.
Immersive Learning Research Network
This volume constitutes the refereed proceedings of the 5th International Conference of the Immersive Learning Network, iLRN 2019, held in London, UK, in June 2019. The 18 revised full papers and presented in this volume were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on science, technology, engineering, and mathematics (STEM); disciplinary applications: special education; disciplinary applications: history; pedagogical strategies; immersion and presence.
