Participants will learn how to train models to categorize texts based on labeled examples and understand evaluation metrics. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Classification algorithms like Naive Bayes and Logistic Regression, Evaluation metrics such as accuracy, […]
Overview The Texas Digital Twin Symposium brings together researchers, students, and industry partners from across Texas to advance the growing digital twin research ecosystem, with a strong focus on data science–enabled methods and real-world applications. The event is designed to spark new cross-disciplinary collaborations spanning engineering, statistics, computer science, and applied mathematics. Through technical sessions, […]
Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning, topic modeling concepts, Latent […]
