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

Blockchain innovation has increased extensive consideration, with a raising enthusiasm for a plenty of various applications, going from information the board, money related administrations, digital security, IoT, and nourishment science to human services industry and mind examine. There has been a wonderful intrigue seen in utilization of blockchain for the conveyance of sheltered and secure human Read More

The developing interest and significance of data analytics in the market have created numerous openings around the world. It turns out to be somewhat hard to waitlist the top data analytics tools as the open source tools are progressively prevalent, easy to understand and execution situated than the paid variant. Read More

As the smart information age matures, data has become the most powerful resource enterprises have at their disposal. The data is consider as the most valuable commodity on the globe, far ahead than the crude oil in economy list. The paper is an attempt to provide a complete understanding about the trustworthiness of data in the big data framework. The current article provide the complete insight a Read More

As researchers push the boundaries of computational analytics to predict outcomes from measurements and trends, they are challenged by the availability of datasets to test their programs. Thus, a faster and easier data synthesis can help such researchers by generating synthesized virtual data sets which will allow them to validate their programs and thus improve the quality of their research.. Read More

The giant players of Big data organizations scale up their enormous interests in big data domain to acquire bytes of knowledge in utilising information from researchers, designers and investigators. Big data crowdsourcing can escalate the speculation plans associated to a greater level. For the new entrants of Silicon Valley which propel a major data scope, the idealistic approach of diminishing costs is to pay telecommuters to disseminate assignments to individu... Read More