Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data. We will start with an introduction to Unsupervised Learning.

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

The use of machine learning in security started gaining popularity in the 2010s, thanks to advancements in cloud computing and big data ... systems use algorithms that learn from data to detect ...

Students will be trained in statistics fundamentals, basic computer programming, and machine learning algorithms ... data-driven problems. The students will be introduced to several real-life problems ...

Combining this information with current and historical satellite data ... such big tiles, the satellite gets a mixed signal coming from a mixture of reflections from these different land covers," ...