Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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AI teaches itself and outperforms human-designed algorithms
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
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