Backup is a vital process that makes the functioning of the present day businesses smooth and secure. No business can do without deploying standard backup software in their IT systems. The creation of numerous copy files, hard drive storage and database workspace helps to rescue the loss data in backup softwares. This assists the data loss and rebuilds the initial contents to the software. Read More

Based on these findings study affirm that the GHQ-12 is a good measure for assessing the overall psychological health of students Read More

The application of piecewise hazard model in mortality data becomes more useful in survival methods. This method is used to find the number and location cut points and to estimate the hazard model. The objective of this paper is to illustrate the piecewise constant hazard model and to find significant factors for under-five child mortality. Read More

Imbalanced datasets contain valuable data that is often lost in data techniques that aim to balance datasets. In this article, we will look at what an Imbalanced dataset is and various techniques that can be used to handle imbalanced datasets. Read More

Have you come across Data Science jargon and buzzwords such as Artificial intelligence (AI); Machine Learning (ML); Deep Learning (DL); Neural Network (NN) etc.. want to know more about them and how each of them differ? If so then checkout this article, which will give you a brief idea what these are. Read More

Data Science, Machine Learning, Artificial Intelligence, Deep Learning - You need to learn the basics before you become a good Data Scientist. Math and Statistics are the building blocks of Algorithms for Machine Learning. Knowing the techniques behind different Machine Learning Algorithms is fundamental to knowing how and when to use them. In this paper, we will look at statistics as a concept. What are the different tests and most important, ‘When to use which test?’. ... 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

"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