The Arrival of SDXL 1.0
Introducing SDXL 1.0: Understanding the Diffusion Models- 26686Murphy2025-03-23
From Meetups to Mentoring: How to Network as a Data Scientist
Five Tips for Aspiring, Junior, and Senior Data Scientists- 20816Murphy2025-03-23
Spoken language recognition on Mozilla Common Voice – Part I.
One of the most challenging AI tasks is identifying the speaker's language for the purpose of subsequent speech-to-text conversion. This...- 26626Murphy2025-03-23
What Happened to the Semantic Web?
It didn't turn out as expected.- 27483Murphy2025-03-23
Large Language Models in Light of the Turing Test and the Chinese Room Argument
Continuing the discussion at the frontier between the most modern technology, philosophical aspects of AI, and science fiction- 20612Murphy2025-03-23
Leveraging management dashboards for storytelling: a viable pathway?
Unleashing narrative power: can data storytelling and dashboards coexist?- 23218Murphy2025-03-23
A Data Scientist's Guide To Improving Python Code Quality
Tools and packages to write production worthy Python code- 29701Murphy2025-03-23
Mastering Monte Carlo: How To Simulate Your Way to Better Machine Learning Models
How a Scientist Playing Solitaire Forever Changed the Game of Statistics- 20792Murphy2025-03-23
Creating 3D Videos from RGB Videos
Instructions for generating consistent depthmap and point cloud videos from any RGB videos- 28342Murphy2025-03-23
How bad is being greedy?
An assessment of a greedy approach to the stock cutting problem- 21086Murphy2025-03-23
A step-by-step guide to build an Effective Data Quality Strategy from scratch
How to build an interpretable Data Quality Framework based on user expectations- 21132Murphy2025-03-23
Congrats on your Customer Lifetime Value prediction model – now what are you going to do with
An obsessively detailed guide to Customer Lifetime Value techniques and real-world applications- 26353Murphy2025-03-23
A Beginner's Guide to Understanding A/B Test Performance through Monte Carlo Simulations
This tutorial explores how covariates influence A/B testing precision in a randomized experiment. A properly randomized A/B test...- 29872Murphy2025-03-23
College Football Conference Realignment – Clustering
Using K means clustering to create data-driven college football conferences- 24726Murphy2025-03-23
Rubik's cubes and Markov chains
We obtain the probability of optimally solving the Rubik's cube using a Markov process description- 23286Murphy2025-03-23
Simulation 104: Electromagnetic Mapping with Vector Fields
Modeling electric and magnetic fields- 20746Murphy2025-03-23
The Urgent Need for Responsible Use of Generative AI
Why scale, personalisation, unclear provenance, and diffusion of AI-generated content require us to act now- 22467Murphy2025-03-23
What is Business Intelligence?
Discover the Tools for Data-Driven Decision Making Applied to Supply Chain Optimization.- 24919Murphy2025-03-23
The Vehicle Routing Problem: Exact and Heuristic Solutions
Understand how to solve complex routing problems with Python- 27426Murphy2025-03-23
Example Applications of K-Nearest-Neighbors
Why the simple algorithm is more practical than you think- 21841Murphy2025-03-23
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.