What to Enroll in Right Now The rapid development of technology creates the need to keep pace with new skills at the ...

Hyderabad, including a Class 12 student, a PhD scholar and a college professor, has developed an affordable device to help ...

This course is designed to give a graduate-level student a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by people who do research in machine ...

Cross Selling and Customer Churn Detection using classical Machine Learning algorithms but also Deep Learning ... The unit tests use some Kafka helper classes like EmbeddedSingleNodeKafkaCluster in ...

print("OVR training accuracy:", lr_ovr.score(X_train, y_train)) print("OVR test accuracy :", lr_ovr.score(X_test, y_test)) ...

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We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can ... Furthermore, we use debiased machine learning to provide ...

The extensive use of machine learning in numerous industries, including healthcare, has been made possible by advancements in data technologies, including storage capacity, processing capability, and ...

Breaking new ground in the theory and practice of computational systems and their applications, the School of Computer Science is a progressive, inclusive department, providing specialist teaching and ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...