Advanced Applied Machine Learning

Catalog description

Machine learning, a subset of artificial intelligence, involves constructing and utilizing data models based on robust analytical algorithms. However, building effective machine learning subsystems within an AI system requires more than simply applying algorithms to datasets or experimenting with a toolbox library. This course delves into advanced topics encompassing innovative techniques and solutions to diverse machine learning challenges. This participant will begin by exploring Machine Learning Operations (MLOps) and then delve into various model analysis techniques. These topics include but are not limited to Recommender Systems, Hyper parameter Optimization, Transfer Learning, and Explainable AI. Through this course, students will gain insights into so phisticated methodologies and tools essential for developing robust and efficient machine learning systems in the realm of artificial intelligence.