Logistic Regression: Deceptively Flawed
When can large odds ratios and perfectly separated data bite you?- 23234Murphy2025-03-23
Grover's Quantum Search Algorithm
A visual explanation of one of the first quantum algorithms- 27274Murphy2025-03-23
Exposing sklearn machine learning models in Power BI
In this post I explain how to build an sklearn pipeline and make it available in Power BI. The code is included.- 21018Murphy2025-03-23
Decision Analysis and Trees in Python – The Case of the Oakland A's
Using decision trees in Python to extract insight into the A's decision to move to Las Vegas- 26665Murphy2025-03-23
Lists, Tuples, Dictionaries, And Data Frames in Python: The Complete Guide
All you need to know to master the most used data structures in Python- 26735Murphy2025-03-23
Improve your Gradient Descent: The Epic Quest for the Optimal Stride
Techniques for Optimizing Step-Size/Learning Rate in Gradient Descent for Machine Learning- 29717Murphy2025-03-23
How Well Do GPT Models Follow Prompts?
Part 2 of a study on generative AI usage and testing- 23334Murphy2025-03-23
Understanding What We Lose
How We Tackle Catastrophic Forgetting in LLMs- 29105Murphy2025-03-23
Interacting with large language models
Enriching prompts to steer the model - explained for non-experts- 27719Murphy2025-03-23
How to Interpret Linear Regression Coefficients | Complete Guide
A complete guide from simple to advanced models- 24431Murphy2025-03-23
Using ChatGPT to Translate R Code to Python
The first step into translating your code base.- 21713Murphy2025-03-23
The Return of the Fallen: Transformers for Forecasting
Introducing a new transformer model: PatchTST- 25488Murphy2025-03-23
Applying LLMs to Enterprise Data: Concepts, Concerns, and Hot-Takes
Ask GPT-4 to prove there are infinite prime numbers - while rhyming - and it delivers. But ask it how your company did last quarter, and...- 29400Murphy2025-03-23
Unsupervised Machine Learning: Explore a List of Models that work without Output Labels
Learn the underlying working of various unsupervised machine learning models and how they are able to generate predictions without output...- 28578Murphy2025-03-23
Fast String Processing with Polars – Scam Emails Dataset
Clean, process and tokenise texts in milliseconds using in-built Polars string expressions- 29050Murphy2025-03-23
Delta Lake – Deletion Vectors
How are deletion vectors related to DML commands and how can they improve write performance?- 22573Murphy2025-03-23
Testing Language Models (and Prompts) Like We Test Software
TL;DR: You should- 25701Murphy2025-03-23
Logarithmic Transformation for Beginners
Unit-free interpretation of association and other benefits- 28492Murphy2025-03-23
Docker for Data Science
An introduction and application of Docker for Data Scientists- 20734Murphy2025-03-23
Summarising Best Practices for Prompt Engineering
How to build your own LLM-based application using OpenAI API- 29017Murphy2025-03-23
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
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