Displaying 83 resources
Introduction to Kubernetes
Lecture by Prof. Lorentzo Carnevale.
Uploaded by Aristotle University of Thessaloniki.
Link to video
Syntactic Pattern Recognition
This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.

MOBISERV-AIIA Database
Introduction
Eating and Drinking Activity Recognition Database (MOBISERV-AIIA Database) was created in order to fulfill the need for a good benchmarking database for the evaluation of specialized meal intake (such as eating and drinking) activity rec
Agent Systems
This lecture overviews Agent Systems that has many applications in multi-party behavior modeling.
Probability Theory
This lecture overviews Probability Theory that has many applications in a multitude of scientific and engineering disciplines, notably in Pattern Recognition and Machine Learning.
Set Theory
This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.
Linear Algebra
This lecture overviews Linear Algebra that has many applications in Machine Learning, Computer Vision and Scientific Computing.
Introduction to Apache Airflow: Workflow Automation with DAGs and Tasks
In today’s technological landscape, process automation has become a fundamental component for improving the efficiency and productivity of organizations.
Natural Language Processing
This lecture overviews Natural Language Processing (NLP) that has many applications in text analytics, Linguistics, Machine translation and sentiment analysis.
Drone Mission Simulations
This lecture overviews various drone mission simulator architectures, notably AirSim and Gazebo.
Image and Video Generation: A deep Learning Approach
This resource corresponds to 7th video from the AI Excellence Lecture Series.
This video explores the fascinating realm of image and video generation through the lens of deep learning.
Discrete Fourier Transform
This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.