Anatol Reibold

Ontologie basierte Technologien und Datenanalyse Statistische Methoden

Fachspezifikation Datenanalyse von kardiologischen Daten Ansatz von Maschinelles Lernen Verfahren

Fachspezifikation und Requirement Einsatz von Verfahrung für Opinion Mining und Sentiment Analysis Zeitreihenanalyse von Finanzdaten Ansatz von Maschinelles Lernen Verfahren

Pragmatische und wissenschaftlich fundierte Beratung. Fokus: Mathematik, Data Science, Datenanalyse, KI, Maschinelles Lernen, Algorithmen. Forschung in KI und Mathematik Anwendung

Tasks: Teach video courses "Big Data Analytics" and "Machine Learning" (4th Weeks) for academics. Contents: Data Science with Python, SQL, NoSQL, NewSQL, Machine Learning, Data Mining, Text Mining, Process Mining, Explorative Data Analysis, Data Management, Hadoop Ecosystem

Tasks: Specification and Algorithms Development, Data Analysis, Data Quality, Testing, Knowledge Management, Machine Learning, AI Topics: Medicine Diagnostics, Biosignal Analysis, Biosignal Processing, Clinical Trials

Tasks: Consulting and development of procedures in Data Science, Data Mining, Data Analysis, Machine Learning, Data Quality, Statistics, Cryptography, Optimization, Web Analytics, Text Mining, Natural Language Processing, Natural Language Generation Framework: Search Engines and Big Data, Data Analysis and Data Visualization (based on R and Python). Ontology-based technologies

Analysis and optimization of material flows and tours, supply chain analysis and material flow control, data quality

Supervision of practical exercises at the University of Applied Sciences Darmstadt, Department Media Topic: Semantics (I and II)

Tasks: Specification and Algorithm Development for Social Media Data, IT Quality Assurance. Topics: Ontology-based technologies, Social Media Monitoring, Statistical Analysis for Social Media Monitoring and Social Media Marketing Solutions, Data Science, Sentiment Analysis, Opinion Mining

Universal Algebra, Mathematical Logic, Dimensional Analysis