Elon Musk, the founder of Tesla, has his eye on a new sector.He thinks it’s going to big.In fact, he said it could potentially be “more significant than…
This article was published as a part of the Data Science Blogathon. Introduction Every supervised machine learning technique basically solves either classification or regression problems. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. Whereas a regression technique involves predicting a real number whose range is […]
In the era of rising customer expectations and savvier consumers, financial organisations are under increased pressure to provide customers with hyper-personalised experiences. In fact, more than half of customers expect
A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.
Amazon QuickSight Q is a new machine learning-based capability in Amazon QuickSight that enables users to ask business questions in natural language and receive answers with relevant visualizations instantly to gain insights from data. QuickSight Q doesn’t depend on prebuilt dashboards or reports to answer questions, which removes the need for business intelligence (BI) teams […]
Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]
Despite record growth, fintechs and traditional financial services institutions, face a range of technical challenges which if not addressed could stall industry progress.