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

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning.

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 ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

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

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 ...