There is a set of techniques covering all aspects of machine learning (the statistical engine behind data science) that does not use any mathematics or statistical theory...
Neural networks are considered complicated and they are always explained using neurons and a brain function. But we do not need to learn how to brain works to understand ...
This article comes from Toodarkpark. Below is an extract, covering a few of the programming languages listed in the original article. The proliferation of modern programm...
A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus...
“We want to predict -X-.” Fill in any desirable topic on the location of the X and you have the formulation of a use-case in the way many companies today think about ...
Support for the development and promotion of Artificial Intelligence is born from the deepest roots of state power in China that defined, for the new qualitative leap of ...
Businesses across the globe are facing the brunt, one of huge data influx and second of increasing data complexity and of course the market volatility. To address these c...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
One of the best ways to learn about any topic is start with very fundamental questions like What, Why etc? Good old Socratic method. In this series of articles on data mi...
Overview Datameer, an end-to-end big data analytics platform, is built on Apache Hadoop to perform integration, analysis, and visualization of massive volumes of both str...