From Data Scientist to ML / AI Product Manager
Insights and tips on how to prepare for a successful transition- 25793Murphy2025-03-22
Setting A Dockerized Python Environment – The Elegant Way
This post provides a step-by-step guide for setting up a Python dockerized development environment with VScode and the Dev Containers...- 29143Murphy2025-03-22
De-biasing Treatment Effects with Double Machine Learning
Causal AI, exploring the integration of causal reasoning into machine learning- 22142Murphy2025-03-22
Improving Generalization in Survival Models
Suggestions for estimating and enhancing predictive accuracy for the employee attrition case- 27333Murphy2025-03-22
The Math Behind Fine-Tuning Deep Neural Networks
Dive into the techniques to fine-tune Neural Networks, understand their mathematics, build them from scratch, and explore their...- 29441Murphy2025-03-22
What Statistics To Learn For Data Science
A breakdown of the the fields of statistics you should know for an entry-level data science role with useful resources- 24603Murphy2025-03-22
Deep Learning At Scale: Parallel Model Training
Concept and a Pytorch Lightning example- 26786Murphy2025-03-22
Hands-On Building a Virtual Property Consultant Using Artificial Intelligence
This is how I used real estate data and powered them using OpenAI Large Language Model GPT3- 22167Murphy2025-03-22
Chronos: The Rise of Foundation Models for Time Series Forecasting
Exploring Chronos: How foundational AI models are setting new standards in predictive analytics- 29397Murphy2025-03-22
Explore all ways to implement RLS Rules
Implementing row-level security in Power BI is a recurring task for developers. Let's look at the techniques for implementing it.- 23691Murphy2025-03-22
How to Empower Pandas with GPUs
A quick introduction to cuDF, an NVIDIA framework for accelerating Pandas- 22625Murphy2025-03-22
5 Key Soft Skills to Elevate Your Data Science Game
Top soft skills that should be highly valued by data scientists to distinguish themselves from the crowd- 28578Murphy2025-03-22
Avoiding abuse and misuse of T-test and ANOVA: Regression for categorical responses
An approach using Bayesian regression with brms- 29292Murphy2025-03-22
The Double Pendulum and Beyond: Investigating Chaos With Multi-Armed Pendulums
Using VPython simulations to model chaotic motion and investigate what makes a system chaotic.- 21877Murphy2025-03-22
Pandas vs. Polars – Time to Switch?
Looking to speed up your data processing pipelines up to 10 times? Maybe it's time to say goodbye to Pandas.- 26546Murphy2025-03-22
Fact-checking vs claim verification
Why hallucination detection task is wrongly named- 27024Murphy2025-03-22
5 Powerful Strategies To Make Sure AI Doesn't Steal Your Job – A Spotify Data Scientist&
Why I stopped freaking out that AI will replace me and what I do instead- 24711Murphy2025-03-22
How to Use OpenAI ChatGPT API… In SQL
Could SQL be your next choice for building AI applications?- 25140Murphy2025-03-22
Feature Engineering with Microsoft Fabric and PySpark
Fabric Madness part 2- 20875Murphy2025-03-22
Hitchhiker's Guide to MLOps for Time Series Forecasting with Sklearn
How to develop a time series forecasting project using Scikit-Learn- 28412Murphy2025-03-22
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.