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An Introduction to Bayesian Reasoning You might be using Bayesian techniques in your data science without knowing it! And if you’re not, then it could… Read More »An Introduction to Bayesian Reasoning

By 2027, the big data market is estimated to grow to USD 103 billion. And by 2022, the global big data and analytics market is… Read More »World’s Best Countries in the Big Data Industry You Must Watch Out For in 2020

The original article is no longer available. Similar (and more comprehensive) material is available below.  Example of underfitted, well-fitted and overfitted models Content Regression What… Read More »Linear regression in Python: Using numpy, scipy, and statsmodels

Nowadays, industries are privileged by the opportunity to apply data science to reach new heights in their efficiency, productiveness, and overall success. The range of… Read More »Top 6 Data Science Use Cases in Design

I have used synthetic data sets many times for simulation purposes, most recently in my articles Six degrees of Separations between any two Datasets and How to Lie… Read More »Surprising Uses of Synthetic Random Data Sets

I have used synthetic data sets many times for simulation purposes, most recently in my articles Six degrees of Separations between any two Datasets and… Read More »Surprising Uses of Synthetic Random Data Sets

Everyone’s talking data. Data is the key to unlocking insight, the secret sauce that will help you get predictive, the fuel for business intelligence. The… Read More »Want to be data-driven? Better start thinking about DataOps

Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with… Read More »Common Errors in Machine Learning due to Poor Statistics Knowledge

Please join me in Las Vegas at Hitachi Vantara’s NEXT 2019 in October where I’ll be talking about data lake “second surgeries” – viva, baby. Data… Read More »Wrestling with Data Science “Second Surgeries”? Try MVE!