Data Science is predictive in a particular way

Some business people get annoyed when prediction is involved. They believe that prediction is more akin to fantasy and fake fortune tellers. Furthermore, many don’t understand what can and what cannot be predicted in Data Science. In this post we explain in more detail the predictive nature of Data Science.


Many people, especially those working in or with IT (Information Technology) departments, are familiar with software engineering practices and with the typical features of software development projects. Unfortunately many of them have the same expectations for Data Science projects. But they must change some entrenched and old practices. …


Deep Learning is one of the most successful areas of Machine Learning. It has now been applied to problems of very different types. It has also reached levels of accuracy in some of these problems that no other Machine Learning model has ever reached. But what is Deep Learning? Are…


Data Science initiatives have a low cost base and a high ROI

The best financial aspects of Data Science projects aren’t only its low cost base but especially its large return on investment (ROI). It is one of the best financial investments you can make in your business. …


ETL tools can play a major role in your analytics project

ETL tools are an important part of any data analytics, machine learning project as the required data is usually only available in different data sources. So ETL (extract transform load) is a much needed part of the process. In this post we explore the best open source ETL tools available.


Online programming job interviews with tasks to be performed under critical eyes and a limited time don’t serve their purpose. There is a much better option.

Online programming interviews with tasks to be performed under critical eyes and a limited time are the opposite of what they are aimed to…


When working with supervised models, evaluation of the model performance is a lot easier, you just need to compare the predicted target values and the actual target values.

But unsupervised models don't have any target values. They seem more challenging to be evaluated. But not always so. …


Customers are a key ingredient to the success of nearly any business in the market. …


The main goal of statistical data analysis, that is, data science, is to understand data. Once you understand it, you can also control it and manage it to meet your present and future goals. Including business goals.

Statistical data analysis allows us to find relationships, associations, trends and patterns in…

Paulo C. Rios Jr.

Data Science, Machine Learning and AI expert

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store