Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

A machine-learning algorithm called CEBRA was developed to learn how high-dimensional data can be embedded in a lower-dimensional space (called a latent space, in latent dimensions), either using ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand.

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

The implications of this are wide and varied, and data scientists are coming up with new use cases for machine learning every day, but these are some of the top, most interesting use cases ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.