This course provides a comprehensive overview of knowledge graphs, their underlying technologies, and their significance in today's digital world. You will learn what is necessary to design, implement, and apply knowledge graphs, with a focus on basic semantic technologies including RDF, OWL, and SPARQL.
This course introduces you to working with time series data, starting from basics like trends and seasonality and moving to advanced forecasting techniques. It covers both classical statistical models and modern machine learning approaches, including deep learning architectures like RNNs and LSTMs.
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