Data Science Prerequisites: linear algebra (3/5)

If Data Science was Sherlock Holmes, Linear Algebra would be Watson. This faithful sidekick is often overlooked by professionals and will form the main topic of this post.  Linear Algebra is hands-down the most important discipline to know before doing any machine learning work. Prior to feeding it to an algorithm, data usually needs to […]

Data Science Prerequisites: statistics (2/5)

As such, statistics plays a central role here, allowing the practitioner to draw conclusions about the characteristics of a population by analyzing a sample of it, which is usually related to the products and/or clients of the company. Data Science today has become a very general term, with each party adopts its own definition of […]

Data Science Prerequisites: probability (1/5)

Probability, in particular, forms the backbone of many data science techniques, thus making it a mandatory prerequisite if one wishes to dive deep into this exciting field. Data Science is an interdisciplinary and pervasive field that aims to turn data into useful insights. As such, it draws inspiration from different domains and scientific disciplines, and […]

Big Data assists e-commerce sites

The explosion of e-commerce and the management of a growing number of products each month make it difficult to maintain an accurate vision of their competitiveness. How can a buyer be instantly given the information they need to evaluate and renegotiate supplier offers in a very short time? Profitability not necessarily guaranteed Today, the consumer […]

How Data Science serves HR?

Abundant and inexhaustible, data is an unlimited fuel that companies can seize upon to drive their strategic decisions and improve their performance. As such, human resources is one of the most relevant application areas for Data Science: it is here that qualified

How artificial intelligence is shaking up the world?

The term « artificial intelligence » for the world of employment is worrisome and too often synonymous with mass destruction of jobs in the collective unconscious. This vision, however, is far from reality. In the recruitment world for example, 43% of professionals