Designed for managers, management track, engineers, and technical professionals who need to make decisions about AI/ML related projects and have limited prior experience in AI and machine learning. In this comprehensive course, participants will achieve an understanding of fundamental machine learning concepts, including the advantages and pitfalls of common strategies.

This course will provide the distinction between supervised and unsupervised learning, classification and regression problems, dimension reduction, and clustering challenges. Participants will also gain insights into data acquisition, data preprocessing/labeling, dataset size, different model types, and optimization criteria.

@allsignalprocessing