Have you ever wondered how AI can create lifelike images that are virtually indistinguishable from reality? Well, there is a…
Autoregressive (AR) models, which are used for text generation tasks and time series forecasting, can be employed to predict future values…
Are you curious about how machines not only learn from data but actually create it? Have you ever found yourself…
In this post, you will learn concepts & examples of generative adversarial network (GAN). The idea is to put together…
Clustering is a popular unsupervised machine learning technique used in data analysis to group similar data points together. The K-Means…
Are you a product manager looking to maximize profits and improve product performance, or a data scientist eager to leverage…
Have you ever wondered how your bank decides what to charge you for its services? Or perhaps how do banks…
Ever wondered how some banks seem to know exactly what their customers need, almost before the customers do? They're probably…
What if we can build solutions that could predict financial market trends, assess credit risk with unerring precision, detect fraudulent…
Have you ever wondered how regression models can be enhanced to provide more accurate predictions, even in the presence of…
Have you ever encountered data that exhibits varying patterns of dispersion and wondered how it might impact your regression models?…
Are you curious about how AI / machine learning is revolutionizing the underwriting process? Have you ever wondered how machine…
It is no secret that the loan industry is a multi-billion dollar industry. Lenders make money by charging interest on…
Have you ever wondered how banks and financial institutions decide who to lend money to, or how much to lend?…
Have you ever encountered categorical variables in your data analysis or machine learning projects? These variables represent discrete qualities or…
When working with machine learning models, data scientists often come across a fundamental question: What sets parametric and non-parametric models…