An in-depth exploration of methods for developing intuition and insights about data that enables effective problem formulation and its solution through data-driven methods. A broad range of advanced ...

In January, Google launched a new service called Cloud AutoML, which can automate some tricky aspects of designing machine-learning software. While working on this project, the company’s ...

The amalgamation and processing of extremely large data sets are possible due to advances in the fields of data science, which in turn drives machine learning and, more recently, deep learning.

One method of AI that is increasingly utilized for big data processing is machine learning. The various data applications of machine learning are formed through a complex algorithm or source code ...

Deep learning and big data: Wall Street and the new data paradigm Professor Anasse Bari of New York University, formerly with the World Bank Group, is a prominent figure in the realm of predictive ...

Why GPUs Are So Important To Machine Learning GPUs have almost 200 times more processors per chip than a CPU. For example, an Intel Xeon Platinum 8180 Processor has 28 Cores, while an NVIDIA Tesla ...

Bryan Jacobs, program manager for the AIE’s Enabling Confidence division at DARPA, told Nextgov that the AIE program is focused on implementing machine learning algorithms into data processing ...

Big data is a big deal today. Even small companies are seeing the benefits of gathering and analyzing the staggering amounts of information that are streaming in from all kinds of online sources ...

Upon completion of this course, participants should be able to: ¿ Understand how big data and machine learning can complement traditional data and analytical techniques in macroeconomic analysis and ...