When you start to work with Python in the context of Data Analysis, Engineering or Science, pandasis (likely) one of the first libraries that you will have to learn about. This incredible library enables you to manipulate two very important objects in the- 26839Murphy2025-03-23
Exploring and comparing distinct approaches to text chunking.- 20922Murphy2025-03-23
A deep dive into MapReduce and parallelization- 29473Murphy2025-03-23
Our weekly selection of must-read Editors' Picks and original features- 25226Murphy2025-03-23
with bytewax and ydata-profiling- 28053Murphy2025-03-23
Clearly explained guide for running quantized open-source LLM applications on CPUs using LLama 2, C Transformers, GGML, and LangChain- 25343Murphy2025-03-23
A guide to essential libraries and toolkits that can help you create trustworthy yet robust models- 27886Murphy2025-03-23
Use the gradient boosting classes in Scikit-Learn to solve different classification and regression problems- 24660Murphy2025-03-23
We often need to derive or create new columns- 24483Murphy2025-03-23
Frankly, difficult is an understatement.- 24024Murphy2025-03-23
Modern session-based deep recommender systems can be somehow limited by the softmax bottleneck like their language model cousins- 28371Murphy2025-03-23
FAST COMPUTING Introduction I have a friend who is a city planner. One day, he was tasked with reassessing the location suitability of thousands of gas stations in the city, needing to find the positions of the k-nearest gas stations to each one. How can- 28359Murphy2025-03-23
In 2006, the Harvard Business Review published an article titled "Competing on Analytics". This influential piece by academics Thomas Davenport and Jeanne Harris sparked widespread discussion on the idea of leveraging analytics as a competitive- 24921Murphy2025-03-23
Learn from what matters, Ignore what doesn't.- 26071Murphy2025-03-23
Another interpretability tool for your toolbox- 20651Murphy2025-03-23
Understand how to hash data and reflect its similarity by constructing random hyperplanes- 25468Murphy2025-03-23
What types of companies are being built on top of the latest in AI- 26209Murphy2025-03-23
Continue learning how to conduct social network analysis with NetworkX and Python- 24930Murphy2025-03-23
I have always been fascinated by etymology. More often than not, there is an intriguing story behind how words and phrases have acquired the meanings we are so familiar with. Morphing through the ages and mingling with changing times. The Mechanical Turk- 24399Murphy2025-03-23
In my role as a software executive, I frequently engage with Chief Data Officers (CDOs) across industries. Some are inherently technical, armed with deep knowledge of data architectures and AI algorithms. Others lean more towards the business side, posses- 27092Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
