Decision trees are methods which use a tree-like structure of conditional statements and decisions. Most common use is in decision analysis, data mining, web content filtering, machine learning problems. In ML, decision trees can be a good model both employed as a single model and also by using them for…

In the last couple of years the speed of changes in many areas have gone up a gear, with both individuals and enterprises having to find better, more data-informed ways to adapt. The importance of measuring the changes/trends has increased and one of the goals is to use data not…

In this article, we will introduce you to our website categorization tool which allows you to easily and highly accurately classify domains/URLs into 703 distinct categories of widely used IAB taxonomy and 5574 categories of eCommerce taxonomy. Our classifiers are being used with great success by Unicorns, multinational companies, startups…

In this article, we will introduce you to our product categorization tool, which allows you to easily and highly accurately classify products, and other eCommerce texts into 5574 eCommerce categories (with 6 Tiers of depth). It supports Google Shopping Taxonomy, as well as other taxonomies. You can try it out…

Dependency parsers are tools that allow us to analyze sentences, with particular focus on their grammatical structure. Dependency parsers pass each sentence into a set of rules, which then allows us to determine the dependencies that build and create that sentence. Dependency parsers show how “head” words depend on other…

Natural language processing (NLP) has become one of the most important fields in the data science and machine learning field. NLP is concerned with interaction between machines and human language, with particular focus on: understanding generation analysis of human languages NLP has a long history and the NLP systems at…

When comparing cryptocurrency market to the traditional stock market one of the things that stand out is that many of the traditional tools for evaluation that are available for stocks are not present for the cryptocurrencies. E.g. when considering the valuation, the company value is the value of discounted cash…

Data mining is a process of analyzing and discovering hidden knowledge from large amounts of data. It provides the tools that enable organizations to extract useful information from their data assets. Data mining techniques are used to uncover correlations between multiple attributes in large databases and interactions between various entities…

Predictive analytics is a set of methods for analysing current and historical data to make predictions on future behaviour. This means that you do not need to rely on your hunches or intuition to predict the future behaviour of individuals, companies public institutions and many other organizations. Instead, by combining…