Machine learning developers often encounter models that perform well on a data set, but dont live up to expectations when used on unseen or test data. This problem is called Overfitting. If you would like to learn more about Overfitting and how to avoid it, read on. Read More

Emotions and Intelligence are a co-related phenomenon; therefore emotions must be taken into consideration for designing truly intelligent agent. Emotional intelligence has emerged as an important area of research in artificial intelligence covering wide range of real-life domains. In this article, we will focus on emotional intelligence research with an emphasis on areas such as Emotion detection, Emotional agents, Text emotion detection, Modeling artificial agent’s env... Read More

This paper examines whether the so-called ‘London effect’, in which London’s schools improved rapidly and outperformed the rest of England on key performance measures between 2003 and 2013, has persisted through the high levels of change that have continued to characterise the school system in England since 2013. Read More

The paper explores the transformational shift in educational outcomes in London between 2003 and 2013. London’s schools have improved rapidly over the past decade, with primary and secondary schools now out-performing the rest of the country, at Key Stages 2 and 4, respectively. Improvements in many London boroughs have been staggering. Read More

Enterprise NAS and SAN solutions are generally closed systems offered by traditional vendors like EMC and NetApp with a very large price tag, so many businesses are looking at Open Source solutions to meet their needs. Read More

Decision Trees, the popular and time-tested method of applying logic to complex problems, where the variables are many and the options specific and dependent, have an important role to play within Machine Learning. We will dedicate this paper to understanding why this reasonably humble technique has become such an important tool for data scientists. Read More

Digital forensics refers to the way toward recouping information from computerized gadgets, from PC hard drives to cell phones. This movement is frequently connected with criminal or common investigations. 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

Do you remember those afternoons in school or college when the professor was trying to teach you about things you never thought you would use in adult life? I bet regression and statistical algorithms are on that list. Well, it turns out that, with the realization of the importance of extracting knowledge from data, these techniques play an important role in Machine Learning and Data Science. Read More

Kick-start your Machine Learning journey by gaining an understanding of the fundamentals of Logistic Regression. Here we explain what Logistic Regression is and give two practical examples of how to build a machine learning model using Python Read More