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

Raw Data (also known and often referred to as Primary Data) collection is the starting point of any data analysis. Once the RD (Raw Data) is collected, it is processed to turn it into Information that can be converted into Knowledge further down the analysis track. The purpose of this White Paper is to explain the key RD collection principles and challenges and how these principles and challenges. Read More

Ark – a decentralized mechanism invented to increase user assumption of blockchain technology. Ark plans to make a whole environment of connected affixes by giving simple to utilize devices to send our own blockchain. Being versatile and adaptable, it enables items to be procured by the across the board and make the use of the technology easier to use. Read More

Data Analytics is the study of breaking down information to change over data to helpful information. This information could assist us with understanding our reality better, and in numerous settings empower us to settle on better choices. Read More