Mastering t-SNE: A Comprehensive Guide to Understanding and Implementation in Python
Unlock the power of t-SNE for visualizing high-dimensional data, with a step-by-step Python implementation and in-depth explanations.- 25320Murphy2025-03-22
Choosing Between LLM Agent Frameworks
Thanks to John Gilhuly for his contributions to this piece. Agents are having a moment. With multiple new frameworks and fresh investment in the space, modern AI agents are overcoming shaky origins to rapidly supplant RAG as an impleme- 21193Murphy2025-03-22
AdEMAMix: A Deep Dive into a New Optimizer for Your Deep Neural Network
A better and faster option than the ADAM optimizer, from Apple Research- 23663Murphy2025-03-22
Paper Walkthrough: U-Net
A PyTorch implementation on one of the most popular semantic segmentation models.- 29705Murphy2025-03-22
TimesFM: The Boom of Foundation Models in Time Series Forecasting
Explore How Google's Latest AI Model Delivers Zero-Shot Forecasting Accuracy Using Over 307 Billion Data Points- 22178Murphy2025-03-22
Shared Nearest Neighbors: A More Robust Distance Metric
A distance metric that can improve prediction, clustering, and outlier detection in datasets with many dimensions and with varying...- 27677Murphy2025-03-22
Uncertainty in Markov Decisions Processes: a Robust Linear Programming approach
Theoretical derivation of the Robust Counterpart of Markov Decision Processes (MDPs) as a Linear Program (LP)- 25998Murphy2025-03-22
Improving Code Quality with Array and DataFrame Type Hints
How generic specification permits powerful static and runtime validation- 29434Murphy2025-03-22
Principal Component Analysis – Hands-On Tutorial
Dimensionality reduction through Principal Component Analysis (PCA).- 20443Murphy2025-03-22
Through the Uncanny Mirror: Do LLMs Remember Like the Human Mind?
Exploring the Eerie Parallels and Profound Differences Between AI and Human Memory- 26526Murphy2025-03-22
Building an Interactive UI for Llamaindex Workflows
A guide to integrating human-in-the-loop interactions using Llamaindex, FastAPI, and Streamlit- 25899Murphy2025-03-22
How I Deal with Hallucinations at an AI Startup
And the difference between weak vs strong grounding- 21648Murphy2025-03-22
Data Empowers Business
Exploiting the full potential of universal data supply- 27156Murphy2025-03-22
Build Your Agents from Scratch
Design your own agents without any framework- 23377Murphy2025-03-22
Topic Modelling Your Personal Data
Using Traditional and Transformer Models to Explore Personal Data Stored by Brokers- 21262Murphy2025-03-22
Feature Engineering Techniques for Numerical Variables in Python
Learn the most useful feature engineering techniques to convert numerical values into useful information for your predictive model using...- 20261Murphy2025-03-22
I've hired 3 cohorts of data science interns – here's my advice on getting an offe
Resume and interview tips for landing a data science internship- 25445Murphy2025-03-22
Doctors Leverage Multimodal Data; Medical AI Should Too
Integrating multimodal data enables a new generation of medical AI systems to better capture doctor's thoughts and decision process- 25644Murphy2025-03-22
Reinforcement Learning, Part 8: Feature State Construction
Enhancing linear methods by smartly incorporating state features into the learning objective- 24959Murphy2025-03-22
Embeddings Are Kind of Shallow
What I learned doing semantic search on U.S. Presidents with four language model embeddings- 21959Murphy2025-03-22
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.