This paper illustrates tips and tools to run a data science practice within an organization. It will also give some tools to understand the stage of data science maturity of the company. Read More

Propensity modelling is a statistical approach and a set of techniques which attempts to estimate the likelihood of subjects performing certain types of behaviour (e.g. the purchase of a product) by accounting for independent variables (covariates) and confounding variables that affect such behaviour. Read More

This article follows the first piece on machine learning describing how AI interacts with neuroscience, as well as how hardware and chips are getting created and modified to be more efficient for specific AI algorithm Read More

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area Read More

This is a very basic introduction to different techniques currently used in machine learning (artificial neural networks, Particle Swarm Optimization, Evolutionary Algorithms, etc.). Read More

This paper describes how AI is revolutionizing business models Read More

This is paper that explains the basic concepts behind AI as well as common definitions that are needed to be known
Read More

This is a short guide to AI Accelerators and Incubators worldwide
Read More

A detailed summary of Pandas Cookbook
Read More

This paper will provide a description of how AI is changing the insurance industry as well as who are the most-known players in the space
Read More