Our weekly selection of must-read Editors' Picks and original features- 27350Murphy2025-03-23
With a simple example and Python Code- 25635Murphy2025-03-23
Python implementation with machine learning classification, prompt engineering, feature engineering on text embedding and model...- 29551Murphy2025-03-23
Learn how to utilize DML in causal inference tasks- 23196Murphy2025-03-23
AWS (Amazon Web Services) has been to Amazon, what compound interest has been to Finance. Cloud has been all the rage for the past ten years, and the model is of compounding returns; the larger organisations you host, the more money you make as the vendor- 28170Murphy2025-03-23
3 levels of using LLMs in practice- 27101Murphy2025-03-23
Image by Author: Generated with Midjourney Background – The need for Efficient Analytics In my opinion, analytics has been one of the toughest arenas to operate in due to the immense volumes of ad hoc requests. Typically, it involves writing a SQL q- 24561Murphy2025-03-23
Lists can have duplicate items but sets can’t. You can update an item in a list but not in a tuple. You can get the third item from a tuple but not from a set. These are just a few things to know about Python data structures. There are surely reason- 23788Murphy2025-03-23
The First Years Chronicles of a Data Scientist in Tech I’ve been working as a Data Scientist at Spotify for 2 years now, and I can say that changing careers from business to data science sits very high on the list of best decisions I’ve ever m- 28987Murphy2025-03-23
A step-by-step guide in Python- 29057Murphy2025-03-23
The KEEPFILTERS() function in DAX is an underestimated function. Let's go into the rabbit hole of this function and discover some secrets- 22743Murphy2025-03-23
There’s a longstanding myth across tech fields: believing that the more complex a project is, the more competence it conveys. I spent countless hours during my early career adding layers upon layers of complexity to my projects, hoping to impress po- 23040Murphy2025-03-23
Analysts often have tasks of finding the "interesting" segments – the segments where we could focus our efforts to get the maximum potential impact. For example, it may be interesting to determine what customer segments have the most signi- 23735Murphy2025-03-23
What could happen to our environment if billions of people began to use generative AI technology on a daily basis?- 29804Murphy2025-03-23
FAST COMPUTING Data in NumPy arrays are arranged as compactly as books on a shelf. Photo by Eliabe Costa on Unsplash In this article, we will delve into the memory design differences between native Python lists and NumPy arrays, revealing why NumPy can pr- 23941Murphy2025-03-23
A technique to increase control over the images generated by pre-trained text-to-image diffusion models.- 21291Murphy2025-03-23
How to handle seasonality for forecasting- 25201Murphy2025-03-23
Latent Variables, Expectation-Maximization & Variational Inference- 26997Murphy2025-03-23
How to compare and pick the best uplift model- 20801Murphy2025-03-23
Explained with examples- 28802Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
