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Super User

Super User

Software is a great combination of artistry and engineering 

                                                                 Bill Gates.

La classification est une des tâches centrales de l’étape de fouille de données dans le processus d’extraction de connaissances dans les bases de données.

Much recent work in machine learning has focused on learning good feature representations from unlabeled input data for higher-level tasks such as classification.

Despite an overall decrease in the number of US cancer deaths, some cancer types are on the rise, and disparities remain between genders and ethnicities.

Functional magnetic resonance imaging (fMRI) is widely used in neuroscience. But according to a recent analysis by researchers from Massachusetts General Hospital in Boston

Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things—big data and analytics—plus how the two have teamed up to create one of the most profound trends in business intelligence (BI) today

Nowadays, dealing with datasets in the order of terabytes or even petabytes is a reality . Therefore, processing such big datasets in an efficient way is a clear need for many users. In this context, Hadoop MapReduce is a big data processing framework that has rapidly become the de facto standard in both industry and academia 

The continuous increase in the volume and detail of data captured by organizations, such as the rise of social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. 

There’s much wisdom in that saying, which has been attributed to both W. Edwards Deming and Peter Drucker, and it explains why the recent explosion of digital data is so important

The goal of machine learning is to create systems that can improve their performance at some task as they acquire experience or data 

The industry is experiencing a new operating environment where equipment is outfitted with sensors and communications devices. While all the data collected by this smart equipment presents great opportunities — better systematic visibility, equipment efficiency, and insight into operations — it also creates challenges.

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