Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

CSCA 5622: Introduction to Machine Learning: Supervised Learning CSCA 5622: Introduction to Machine Learning: Supervised Learning Preview this course in the non-credit experience today! Work you ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

Artificial intelligence (AI) and machine learning (ML) are transforming our world. When it comes to these concepts there are important differences between supervised and unsupervised learning ...

Turing Award winners Yoshua Bengio and Yann LeCun spoke during a session at tthe International Conference on Learning Representations (ICLR) 2020.

Supervised learning depends on annotated data: images, audio or text that is painstakingly labeled by hordes of workers. They circle people or outline bicycles on pictures of street traffic.