Sort By
Most Recent
216 Articles
R is a programming language that provides access to a variety of statistical and graphical techniques while producing plots. R is widely used in data science.
Supervised learning is an approach to machine learning that uses labeled data sets to train algorithms in order to properly classify data and predict outcomes.
A decision tree is a supervised machine learning algorithm that creates a series of sequential decisions to reach a specific result.
Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Unsupervised learning is a form of machine learning that involves processing unlabeled data inputs and outputs in order to predict outcomes.
Cloud security refers to measures taken to protect data, infrastructure, applications and the integrity of cloud environments.
Data modeling is the process of creating visual representations of information to draw connections between data points that illustrate relationships.
Data integrity involves looking at data to ensure data is not only correct, but also applied to accurate context, has been properly collected, stored and more.
Predictive analytics allows companies to use multidimensional factors to identify growth opportunities and risks, particularly when used to examine insights found within big data.
App development is the process of building applications for use on various operating systems through the use of one or more programming languages.
A data structure is a format for organizing, processing, retrieving and storing data so it can be easily accessed and effectively used.
APIs are critical to how software operates and used by software engineers to enable the instantaneous sharing of data to provide seamless user experiences.