What is MicroPython? Do I Need to Know it as a Data Scientist?

by Dr. Owns | Jan 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the Most Popular Technologies — but why?Continue reading on Towards Data Science » ​In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the Most Popular...

Your Classifier Is Broken, But It Is Still Useful

by Dr. Owns | Jan 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence.Photo by Rod Long on UnsplashBut that estimate is biased, because no classifier is perfect. For example, if...

What Would a Stoic Do? — An AI-Based Decision-Making Model

by Dr. Owns | Jan 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Using AI to build Marcus Aurelius’ reincarnationContinue reading on Towards Data Science » ​Using AI to build Marcus Aurelius’ reincarnationContinue reading on Towards Data Science »  deep-learning, rags, nlp, llm, editors-pick Towards Data Science – MediumRead...

LightGBM: The Fastest Option of Gradient Boosting

by Dr. Owns | Jan 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Learn how to implement a fast and effective Gradient Boosting model using PythonContinue reading on Towards Data Science » ​Learn how to implement a fast and effective Gradient Boosting model using PythonContinue reading on Towards Data Science »  lightgbm,...

Machine Learning + openAI: solving a text classification problem

by Dr. Owns | Jan 11, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

How I migrated an old solution to a more elegant, robust and scalable solution using text classification from openAIContinue reading on Towards Data Science » ​How I migrated an old solution to a more elegant, robust and scalable solution using text classification...

Exploring New Hyperparameter Dimensions with Laplace Approximated Bayesian Optimization

by Dr. Owns | Jan 11, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Is it better than grid search?Image by author from canvaWhen I notice my model is overfitting, I often think, “It is time to regularize”. But how do I decide which regularization method to use (L1, L2) and what parameters to choose? Typically, I perform hyperparameter...