Evaluating synthetic data
Assessing plausibility and usefulness of data we generated from real data- 24471Murphy2025-03-22
Bringing Structure to Your Data
Testing assumptions with path models- 25020Murphy2025-03-22
AI Feels Easier Than Ever, But Is It Really?
The 4 big challenges of building AI products- 24361Murphy2025-03-22
Your eCommerce product performance reports are probably misleading you
Why single metrics in isolation fall short and how Weighted Composite Scoring can transform your business insights- 22649Murphy2025-03-22
Gaussian Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners
Bell-shaped assumptions for better predictions- 22850Murphy2025-03-22
I Built An AI Human-Level Game Player
Old-school game trees can be incredibly effective.- 26857Murphy2025-03-22
Dataflow architecture
on derived data views and eventual consistency- 22640Murphy2025-03-22
I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4o
Is the fine-tuning effort worth more than few-shot prompting?- 23032Murphy2025-03-22
Continual Learning: A Primer
Plus paper recommendations- 27559Murphy2025-03-22
Visualization of Data with Pie Charts in Matplotlib
Examples of how to create different types of pie charts using Matplotlib to visualize the results of database analysis in a Jupyter...- 20730Murphy2025-03-22
Normalized Discounted Cumulative Gain (NDCG) – The Ultimate Ranking Metric
NDCG - The Rank-Aware Metric for Evaluating Recommendation Systems- 29762Murphy2025-03-22
Will Your Vote Decide the Next President?
Simulating the probability that your singular vote swings the election in November- 26359Murphy2025-03-22
Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for…
Milestones of RL: Q-Learning and Double Q-Learning- 22024Murphy2025-03-22
Create Your Own Prompt Enhancer from Scratch
How to emulate OpenAI's system prompt generator functionality- 28060Murphy2025-03-22
Fine-Tuning BERT for Text Classification
A hackable example with Python code- 22392Murphy2025-03-22
Beyond Naive RAG: Advanced Techniques for Building Smarter and Reliable AI Systems
A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance- 25135Murphy2025-03-22
Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates
Learn which variables you should and should not take into account in your model.- 21933Murphy2025-03-22
All You Need to Know to Build Radial Charts in Tableau
You will never forget it after this!- 27251Murphy2025-03-22
A Critical Look at AI Image Generation
What does image generative AI really tell us about our world?- 23586Murphy2025-03-22
The Science Behind AI's First Nobel Prize
How Physics and Machine Learning Joined Forces to Win Physics Nobel 2024- 24567Murphy2025-03-22
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.