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Closing the Gap Between Machine Learning and Business

What would you say it is you do here? Photo by Cookie the Pom on Unsplash Now that many of us are returning to the office and getting back into the swing after a winter break, I have been thinking a bit

What Sets Great Data Analysts Apart

Still looking for a New Year’s resolution? Here are 6 skills to develop to make you & your team ridiculously efficient. What makes a great data analyst? Great data analysts can find creative solutions to complex problems and produce quality

Synthetic Data: The Good, the Bad and the Unsorted

A legal take on using synthetic data for AI training DISCLAIMER: This is not another pro and con article for the collection.Anne Fehres and Luke Conroy & AI4Media / Better Images of AI / Humans Do The Heavy Data Lifting /

Demystifying Confidence Intervals with Examples

Navigating through uncertainty in data for extracting global statistical insights Introduction Confidence intervals are of the most important concepts in statistics. In data science, we often need to calculate statistics for a given data variable. The common problem we encounter

LLMs for Everyone: Running the HuggingFace Text Generation Inference in Google Colab

Experimenting with Large Language Models for free (Part 3) Continue reading on Towards Data Science »

Humpty Dumpty and Time Series: Mixed Model Time Series Regression

Using multiple model forms to capture and forecast the components of complex time series Continue reading on Towards Data Science »

How to Write Memory-Efficient Classes in Python

Three tricks to prevent your data project from memory overflow Continue reading on Towards Data Science »

Visualisation 101: Choosing the Best Visualisation Type

Comprehensive guide for different visualisation use cases Image by DALL-E 3 I believe that the primary goal of analysts is to help their product teams make the right decisions based on data. It means that the main result of analysts’ work is

Testing in Practice: Code, Data and ML Model

A guide to testing in MLOps Continue reading on Towards Data Science »