How to beat the AI algorithm and get the job of your dreams

Here's what that shift to AI means for the recruitment process, and how you can ensure your application gets picked from the ...
GitHub

The SPMF Open-Source Pattern Mining Sofware

SPMF offers a graphical user interface (GUI), a command-line interface (CLI), and a server for alternatively running data mining algorithms through REST queries from a Python or Web client. SPMF can ...
IEEE

Decision Trees for Mining Data Streams Based on the McDiarmid's Bound

Abstract: In mining data streams the most popular tool is the Hoeffding tree algorithm. It uses the Hoeffding's bound to determine the smallest number of examples needed at a node to select a ...
IEEE

SAFARI: a structured approach for automatic rule

Abstract: This paper describes a new algorithm for obtaining rules automatically from training examples. The algorithm is applicable to examples involving both objects: with discrete and ...
Hacker

The Evolution of Decision Trees: From Shannon Entropy to Modern Applications and Specialties

Data Science expert with desire to help companies advance by applying AI for process improvements. The journey to Kaggle’s winning approach started in the mid-20th century, and its development has ...
Frontiers

An Introduction to Machine Learning Approaches for Biomedical Research

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...