Extracting and structuring text elements with high accuracy using small modelsImage generated by an AI by the authorIn this post, I’ll introduce a paradigm recently developed at Anaplan for extracting temporal information from natural language text, as part of an NLQ (natural language query) project. While I will focus on time extraction, the paradigm...

Have you encountered a problem where a 1 GB transformer-based model increases even up to 8 GB when deployed using Docker containerization?Continue reading on Towards Data Science »

The final chapter in a comprehensive, practical guide to real-world applications of CLV analysis & predictionContinue reading on Towards Data Science »

Four advanced tricks to give your data science and machine learning classes the edge you never knew they neededContinue reading on Towards Data Science »

The digital world can’t exist without the natural resources to run it. What are the costs of the tech we’re using to build and run AI?Photo by ANGELA BENITO on UnsplashThere’s a core concept in machine learning that I often tell laypeople about to help clarify the philosophy behind what I do. That concept is the idea that the world changes around every...

A beginner-friendly introduction with Python codeThis is the 3rd article in a larger series on Full Stack Data Science (FSDS). In the previous post, I introduced a 5-step project management framework for building machine learning (ML) solutions. While ML may bring to mind fancy algorithms and technologies, the quality of an ML solution is determined...