Market Mix Modeling (MMM) in times of Covid-19
Covid-19 has brought misery to the world, many lives have been lost, cities wear a deserted look and economies are on the verge of collapse. Source: https://www.busin...
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Top Machine Learning Tools for Easy Development
Let’s start with some simple real-lie examples that we’re sure you all must have experienced. You watch Netflix and it offers you viewing suggestions. Twitter shows...
Divide and Conquer Algorithm
Divide-and-Conquer Algorithm Divide-and-conquer algorithms are made up of three steps: divide, conquer, and combine. In the divide stage, we divide the data into small...
Would Bayesian approaches improve COVID-19 forecasts?
Data Scientists worldwide are forecasting about COVID Mostly, they are doing excellent work. But still, most forecasts vary widely That’s not to say that they are inacc...
COVID19: Question-Answering Model using BioSentVec Embedding
Introduction As we see COVID19 affected 1.5M people globally and 100k deaths, the worldwide AI research community are trying help medical commun...
Comparing Regression Lines with Hypothesis Tests
This article was written by Jim Frost. How do you compare regression lines statistically? Imagine you are studying the relationship between height and weight and want to ...
How Organizations Can Leverage Design Thinking to Avoid “Least Worst” Options
Trying to gain organizational alignment on the best path forward on a critical product or organizational decision is overly difficult. Product-centric, inside-out organ...
The In-depth 2020 Guide to E-commerce Fraud Detection
It is hard to underestimate the role of E-commerce in a world where most communications happen on the web and our virtual environment is full of advertisements with attra...
Nonlinear regression of COVID19 infected cases.
In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model is called SIR b...
Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
This article was written by Jim Frost. Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because in...