We study machine learning algorithms for solving a variety of learning tasks, including supervised, semi-supervised, unsupervised, and reinforcement learning tasks. A special focus is devoted to ...

For example, supervised learning can be used to predict whether an email is ‘spam’ or ‘not spam’ based on a set of previously classified emails. In unsupervised learning ... about existing categories.

Modern AI systems rely heavily on post-training techniques like supervised fine-tuning (SFT) and reinforcement learning (RL ... the Indian Institute of Technology(IIT), Kanpur. He is a Machine ...

AI-driven tools harness ML algorithms to provide insights into anxiety disorders. Supervised ML models, such as logistic ...

With global leaders set to attend a summit on artificial intelligence (AI) in Paris on February 10-11, here are some of the ...

The course covers supervised classification based on e.g., artificial neural networks (deep learning), as well as unsupervised learning (clustering), regression, optimization (evolutionary algorithms ...

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

It covers fundamental concepts of Machine Learning and Deep Learning, such as Supervised and Unsupervised Learning. You will also learn how to build, train, and deploy deep architectures. This class ...

With global leaders set to attend a summit on artificial intelligence (AI) in Paris on February 10-11, here are some of the ...