Data Visualization – Feed the eyes
Why do we visualize data? The most basic answer is that it’s very hard to read data encoded in a database or dataset. Visualization makes use of the basics of human perception to intuitively present the data. Even if you never made a graph, you’ve probably already created a data visualization. A mere table is […]
Debunking the AI Myth
Martin Haagoort, CEO of Intellerts, debunking the AI myth: Is your brain a computer? “First of all, it’s a myth to my opinion, and it’s a myth that’s being commonly used by everyone. It’s fed by Hollywood, not by science. And we all use this myth in our day-to-day discussions with regards to AI. I think […]
Model the data
‘Model the data’ is the main aim of any Data Science project. Now, we can finally put all the work in the previous step from our 8-step Data Science method to good use. You may assume this step is the most time-consuming but, for most projects, this is not the case. That is because Data […]
Mining and combining
Once the relevant data sources are gathered, the preparation, integration and exploration of the data can begin. This is the most time-consuming step in the framework. According to Forrester, one-third of analysts spend more than 40% of their time vetting and validating data. When preparing your data, the first step is to assess the content […]
Data Understanding
Once you have an overview of the available data sources, you must select the best qualified. To achieve this, you must gather and assess these sources to understand the exact content, structure, and quality of the data. When the data sources contain personal data, the data must be anonymized. Data quality and data management are […]
Data Landscaping
Read this article when you want to start exploring available data sources, types, structures, and models. Exploring the data landscape is often an underestimated task. This is mainly because companies lack a good understanding of their data structure. In our current age of digitization, data is growing at an astonishing rate, and AI is predicted […]
The Art of Asking Questions
The failure of many data science projects could be prevented in the beginning. This is because the problem is not clearly defined. Albert Einstein fully recognized this issue and there are a few reasons why this is so important. First, everyone in the organization must have the same understanding of the problem. If you can […]
OUR 8-STEP DATA SCIENCE MODEL
OUR 8-STEP DATA SCIENCE MODEL We have defined an 8-step Data Science model, providing a framework for managing your data science projects. In this section, we explain how you can organize your work to help you use data analytics to streamline your Data Science initiatives. This 8-step model works at every stage of your Data […]
Train your own NER tagger using transformer language models
Natural language processing is among the fields which are highly impacted by breakthroughs in the Deep Learning field. Hence, it is no surprise that multiple state-of-the-art techniques are pushing boundaries almost every day, and keeping up with the latest achievements, testing their capabilities has become increasingly difficult. In this post, we will focus on Named […]
The Journey of Business Intelligence
“OK, I want to take you on a journey. Most of you are considering to start using AI in your company. Unfortunately, AI is not plug and play. It takes quite some effort, although all the tech prophets make you believe it’s very easy and it’s almost a commodity, it’s absolutely not the case. It’s a journey you need […]