Articles

P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement today… Read More »How to Lie with P-values

In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that… Read More »Calculating exclusion limits for a new theory in hardcore science

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet… Read More »Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

The blockchain is one of the hottest and fastest growing skills in the IT sector today. It is said that there are around 44% of… Read More »The Importance of Blockchain Technology and Decentralization

Summary: Recurrent Neural Nets (RNNs) are at the core of the most common AI applications in use today but we are rapidly recognizing broad time… Read More »The Coming Revolution in Recurrent Neural Nets (RNNs)

Data science is among the one of the most discussed term in last few years. Digital industry is hugely dependent on exchange of data. But… Read More »Learning Path to Become a Data Scientist for ASP.NET Developers?

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »31 Statistical Concepts Explained in Simple English – Part 9