Sentence examples for data analytic algorithms from inspiring English sources

With sparse data, analytic algorithms end up doing a lot of addition and multiplication by zero, which is wasted computation.

Part 3 concerns 21st century topics, false discovery rates, sparse modeling and the lasso, support vector machines, neural networks, random forests, and other modern data analytic algorithms.

In order to implement this idea, several key techniques are illustrated in detail, e.g. data attribute, data cleansing, data integration of databases in different levels, and big data analytic algorithms.

On the one hand, advanced data analytics algorithms are constantly emerging and their potential in analyzing high-complexity and low-quality building operational data should be further explored.

The development of data analytics algorithms has progressed rapidly in the IT industry, and these technologies are being adopted in the automotive industry to extract value from the streams of data generated by the connected-vehicle fleet.

His research is mostly in datamining algorithms and dataflow computing, with the stress on mapping of data analytics algorithms onto fast energy efficient architectures.

"Data analytics" begins with a brief introduction to the data analytics, and then "Big data analytics" will turn to the discussion of big data analytics as well as state-of-the-art data analytics algorithms and frameworks.

With the proliferation of computing techniques and data analytics, algorithms increasingly have the ability to exert impact on ethics, politics, and economics through automated decision-making and interpretation of Big Data (Lustig et al. 2016).

We consider a data analytics algorithm to mitigate some of these challenges in this work.

We use the terms predictions, computational inferences or hypotheses to refer to the outcomes of data-analytic algorithms.

For these reasons validating or interpreting all the hundreds of computational inferences of data-analytic algorithms is expensive and is not amenable to crowdsourcing.