A Quick Introduction to Mojo – a Superset of Python that is Super Fast
Learn a new sibling language of Python for AI- 21942Murphy2025-03-22
How to Perform Hallucination Detection for LLMs
Hallucination metrics for open-domain and closed-domain question answering- 20653Murphy2025-03-22
How to Leverage SvelteKit, Skeleton, and Chart.js for Rapid Prototyping and Efficient Execution
A boilerplate for advanced charting and data visualization- 24267Murphy2025-03-22
Death In The Himalayas
An end-to-end data visualization project with Python, D3, Illustrator, and Photoshop.- 27033Murphy2025-03-22
The New Frontiers of LLMs: Challenges, Solutions, and Tools
Our weekly selection of must-read Editors' Picks and original features- 25591Murphy2025-03-22
How I Stay Up to Date with AI as a Data Scientist
It's a bit more than a few simple Google searches- 22490Murphy2025-03-22
Demystifying Social Media for Data Scientists
A data scientist's guide to AI-powered content creation- 28556Murphy2025-03-22
Tips and Tricks to Organize Jupyter Notebook Visualizations
Optimize your data science workflow by automating matplotlib output - with 1 line of code. Here's how.- 23366Murphy2025-03-22
Optimizing Instance Type Selection for AI Development in Cloud Spot Markets
Instance Selection for Deep Learning - Part 2- 20680Murphy2025-03-22
Arrays in Python and Excel VBA
Learning about arrays through simple examples- 22820Murphy2025-03-22
Understanding Ghost Attention in LLaMa 2
This blog post explains the Ghost Attention method of fine-tuning introduced in the LLaMa 2 paper.- 25912Murphy2025-03-22
How to Estimate Depth from a Single Image
Run and Evaluate Monocular Depth Estimation Models with Hugging Face and FiftyOne- 25377Murphy2025-03-22
LLaVA: An open-source alternative to GPT-4V(ision)
Running LLaVA on the Web, locally, and on Google Colab- 29861Murphy2025-03-22
Stop Overusing Scikit-Learn and Try OR-Tools Instead
Many Data Scientists overuse ML and neglect Mathematical Optimisation, even though it's great for your career and easy to learn- 28177Murphy2025-03-22
4 Things All Analytics Engineers Must Learn in 2024
Foundational knowledge and upcoming trends in the modern data stack- 22951Murphy2025-03-22
Introducing Python Classes and Dataclasses
A hands-on guide for beginners- 21465Murphy2025-03-22
The Future is Neuro-Symbolic: How AI Reasoning is Evolving
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article's text.- 29329Murphy2025-03-22
Exploring a Two-Decade Trend: College Acceptance Rates and Tuition in the U.S.
Is it harder to get into college these days?- 23793Murphy2025-03-22
Why Retraining Can Be Harder Than Training
A neural network perspective on learning, unlearning and relearning- 25252Murphy2025-03-22
What Is Switchback Testing for Decision Models?
A/B testing for decision models- 25849Murphy2025-03-22
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features
