Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.
For a while, we have been running a blog series on cognitive biases and logical fallacies that data scientists should avoid. In philosophy there are a host of informal logical fallacies – essentially errors in thinking – that crop up every day. In this series we have looked at the practice of data science to determine how these same fallacies also occur. Today we will be looking at fallacies and their manifestation in credit: The Monte-Carlo fallacy and the Hot-hand fallacy with some studies in the credit world.
Recently my team and I were sitting in a meeting with a potential client debating the basic functions of our originations software. To the business analysts who were leading the RFP process, the most critical feature seemed to be whether or not our solution would be able to offer web form fields that were customisable by the business user.
While LinkedIn has traditionally been thought of as the business or work focussed social platform, Facebook has been making headway into gaining market share in the space as well. With company pages and groups, Facebook is catering to every interest and aspiration that people might have – and combining that with their social interactions and news sources. Facebook aims to give users a one-stop-shop experience, and it’s very good at doing it.
For the second roundup of our most popular 2018 blogs, we cover the Data Analytics topic. The blogs that our readers love are thought-provoking and aim to inspire and teach – and we hope these articles do just that!
It isn't always easy to keep up-to-date with the latest news in data science, machine learning or artificial intelligence. Twitter is a great source of information and helps you quickly scan through headlines to engage with content that interests you. This helps eliminate a lot of noise and helps you focus on what you want to read about, but you need to follow the right people for that content to appear in your feed.