From noob to expert: Demystifying vector databases across different backgrounds- 29960Murphy2025-03-23
Questions that come from real life.- 25692Murphy2025-03-23
Investigating the Capability of Synthetic Data to Enhance Model Performance on Imbalanced Datasets- 24337Murphy2025-03-23
A step-by-step guide to fine-tuning pre-trained NLP models for any domain- 28926Murphy2025-03-23
Large Language Models (LLM) are all the buzz right now. They are used for a variety of tasks, including text classification, question answering, and text generation. In this tutorial, we will show how to conformalize a transformer language model for text- 20896Murphy2025-03-23
Setting up an LLM to talk about your code - with LangChain and local hardware- 26596Murphy2025-03-23
Photo by JESHOOTS.COM on Unsplash A Universal Ratings System The Elo ratings system has become famous in a few contexts. Perhaps most famously, it has been been the basis of Chess ratings since the 1960’s. Additionally, the website 538 has successfu- 28955Murphy2025-03-23
Using RFM Scores to Build Customer Segments- 27552Murphy2025-03-23
In 2021, Princeton University’s Center for Information Technology Policy released a report where they found that machine learning algorithms can pick up biases similar to those of humans from their training data. One striking example of this effect- 28110Murphy2025-03-23
LLMs excel on extra-small datasets, but classical approaches shine as datasets grow- 20618Murphy2025-03-23
When it comes to data analysis, Pandas is the most used Python library to manipulate and prepare the data for further analyses and Machine Learning. The reality is that Pandas is a really flexible library and can be used even to convert file formats. Howe- 20672Murphy2025-03-23
Level up your data analysis with Polars- 25355Murphy2025-03-23
Data modeling can be a challenging task for analytics teams. With unique business entities in every organization, finding the right structure and granularity for each table becomes open-ended. But fear not! Some of the data you need is simplistic, free, a- 29051Murphy2025-03-23
Hands-On! How ChatGPT Manages Tokens?- 20727Murphy2025-03-23
Vectorized Logistic Regression- 25494Murphy2025-03-23
A deep dive into the DeepONets, physics-informed neural networks, and physics-informed DeepONets- 27630Murphy2025-03-23
If you thought facing a technical interview is hard, try conducting an interview. I’m not talking about the awkward interviewers who left a scathing impression, watching you condescendingly, while you’re wishing for the pain to end. I’m- 20424Murphy2025-03-23
A simple, quick, and efficient way to build a full-stack data application- 27219Murphy2025-03-23
Why random effects are useful for machine learning models- 24970Murphy2025-03-23
Raising awareness about learning three fundamental data concepts As a data professional, I am just amazed by all the recent developments in the area of generative AI. While some call it hype and are willing to quickly write it off as just another tech tre- 21168Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
