The internet of things or (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Read More

Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN. Read More

Quantitative analysis is no panacea from mistakes and discrepancies. The purpose of this White Paper is to consider contemporary challenges of the Quantitative Big Data analysis activities. Read More

Machine learning is a fast-paced area and many types of research are ongoing. One of the fastest growths can be seen in the area of Meta-learning. As it is becoming more popular and more meta-learning techniques are being developed, it is important to understand this area of data science. Meta-learning caught my attention somewhere back in 2018 Read More

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of the industrial revolution. It also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption Read More

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of Read More

First coined around 2009, the term DevOps refers to an approach to IT that emphasizes collaboration between the development and operations groups. It arose out of the agile software development movement and applies some of the same principles to the Application Lifecycle Management (ALM) process. Read More

According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. The paper walks you through the analysis and visualisation of a speed dating dataset garnered from Columbia University. It helps you to understand the most important factors and how to predict a potential match with that special someone, the first time we meet. Read More

"Recency, Frequency, Monetary Value" or commonly known as RFM analysis is the key tool for many smart marketers who understand the importance of "Know thy Customer". Using segmentation you divide the audience into homogenous groups in order to send targeted messages. Read More

Business Intelligence (BI) Systems describes a form of data driven Decision Support Systems (DSS) that integrate a variety of concepts and technologies to gather, store and analyse data. Agent and Multi Agent System (MAS) is often mentioned as an approach to design and develop flexible and distributed software systems. Read More