Here's how to tackle chaotic problems using math, physics, Python and data science- 21033Murphy2025-03-23
A step-by-step guide to extending pandas DataFrames with custom methods including full examples for implementing probability and expectancy- 29603Murphy2025-03-23
Unlocking the secrets of BERT compression: a student-teacher framework for maximum efficiency- 23454Murphy2025-03-23
A shortcut for beginners in 2024- 24483Murphy2025-03-23
An illustrative guide to BPE tokenizer in plain simple language- 23181Murphy2025-03-23
In our previous publication, From Data Engineering to Prompt Engineering, we demonstrated how to utilize ChatGPT to solve data preparation tasks. Apart from the good feedback we have received, one critical point has been raised: Prompt engineering may hel- 27448Murphy2025-03-23
Machine Learning is never 100% correct. Thus, an ML model is only helpful when users understand the uncertainty of predictions.- 25498Murphy2025-03-23
I recently came across with an exciting dataset titled Roman Road Network (version 2008) on Harvard’s Dataverse: the historical road networks of the Roman Empire in a perfect GIS format! Additionally, I have been working on a project about public tr- 29119Murphy2025-03-23
Making language models that can look stuff up- 26100Murphy2025-03-23
Learn how to use the Builder design pattern to enhance your code- 29723Murphy2025-03-23
Overview and Implementation with Python- 25002Murphy2025-03-23
Explaining why neural networks can learn (nearly) anything and everything- 25344Murphy2025-03-23
With PyTorch code- 23167Murphy2025-03-23
An exploration of a fundamental numerical optimization technique, with a focus on its geometrical interpretation- 29729Murphy2025-03-23
Language models (LLMs) have revolutionized the field of natural language processing (NLP) over the last few years, achieving...- 23699Murphy2025-03-23
Things you should keep in mind before participating in your first #30DayChartChallenge and why you should consider it- 29710Murphy2025-03-23
This is part of a series on Strategic Data Analysis. Strategic Data Analysis (Part 1) → Strategic Data Analysis (Part 2): Descriptive Questions Strategic Data Analysis (Part 3): Diagnostic Questions (Part 3) Strategic Data Analysis (Part 4): Predictive Qu- 24614Murphy2025-03-23
How to choose it and minimize your neural network training time.- 20201Murphy2025-03-23
A guide to the basics of quantum computing with no prior knowledge required- 26371Murphy2025-03-23
Using OpenAI Studio, Cognitive Search and Storage Accounts- 26553Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
