Students learn automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression and neural networks. Credits: 4
Students learn automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression and neural networks. Credits: 4