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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Book: [email protected] – The greatest data stories ever told!
My new ebook about Agile, AI, data, deep learning, IT and much more. Highly polemic, contrarian and insightful. It informs, educates and entertains. It incites thought, r...
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...
Why Data Is Not The Next Oil
Marketing, at least in the IT sector, has been replaced by memes. Every so often a Gartner slide deck goes viral, and the next thing anyone knows, pithy and mostly meanin...
How COVID-19 is Likely to Change Your AI Strategy
Summary: COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI strategies need to thoroughly reviewed and pr...
The Power of Data Integration Strategy for Your Business
Introduction We live in a time in which information is the core element of business success for companies in almost any industry. Data is the key to making proper and tim...
Data Structures & Algorithms
This blog post talks about the concepts of data structures and algorithms and introduces the why of integrating them. A few topics in data engineering will be scanned thr...
Data scientists, you can’t not-know APIs & Dockers
We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone on your s...
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...
Covid-19 Modeling: Impact of Missing Data and Ignoring Key Features
Many data scientists and epidemiologists have developed various models and predictions, mostly alarming ones. Here I discuss issues that make most of these analyses meani...