The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis ... it is still possible to process the highly compressed quantum ...

The cleaning process may actually change field names and data ... OLAP servers organize data into multidimensional hierarchies, called cubes, for high-speed data analysis. Data mining algorithms scan ...

One fact about machine learning and data algorithms ... While analysis in one retail location is quick, scaling it to dozens of locations needs a faster process, as well as accounting for ...

Biological data visualization is an important part of the data analysis process because it allows researchers to ... gene expression levels across samples or conditions. Clustering algorithms, such as ...

Feature engineering, on the other hand, is the process of using domain knowledge to create features that make machine learning algorithms work. “Exploratory data analysis (EDA) is used by data ...

data modeling and data analysis work best when they are used together. But how do organizations embed data into every decision and process? The answer starts with effective data modeling and ...

The ability to change course based on both kinds of data is important in a market that's changing quickly. Combining quantitative and qualitative data analysis can give students ... This helps improve ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Daruwalla designed a new way for AI algorithms to move and process data much more efficiently, based on how our brains take in new information. The design allows individual AI "neurons" to receive ...