Reinforcement Learning, Part 1: Introduction and Main Concepts
Making the first step into the world of reinforcement learning- 23592Murphy2025-03-22
Linear Regressions for Causal Conclusions
An easy and yet powerful tool for decision making- 29437Murphy2025-03-22
Building a simple Agent with Tools and Toolkits in LangChain
Get familiar with the building blocks of Agents in LangChain- 22475Murphy2025-03-22
3 Best Methods for Spatial Interpolation
From scratch, in Python- 23102Murphy2025-03-22
6 Steps to Make AI Write Your Python Code for You
Use the INSPIRe framework to save time and gain a competitive edge (ChatGPT-4 - Claude 3 - Gemini)- 22225Murphy2025-03-22
Scaling AI Models Like You Mean It
Strategies for Overcoming the Challenges of Scaling Open-Source AI Models in Production- 21385Murphy2025-03-22
Advanced Code Generation With LLMs – Building a Synthetic Data Generator
Applying the 6 steps of the INSPIRe framework to accelerate your code generation (ChatGPT-4 - Claude 3 - Gemini)- 25115Murphy2025-03-22
Why Human-Centred Approaches Lead to Better Algorithm Design
Some lessons I learned about quantifying qualitative thinking- 27890Murphy2025-03-22
Turning Your Relational Database into a Graph Database
Leveraging LLMs to augment your data- 20404Murphy2025-03-22
How to Make the Most Out of LLM Production Data: Simulated User Feedback
A novel approach to use production data to simulate user feedback for testing and evaluating your LLM app.- 27503Murphy2025-03-22
Addressing Spatial Dependencies
The Essentials of the Spatial Error Model- 23376Murphy2025-03-22
Moirai: Time Series Foundation Models for Universal Forecasting
The future of predictive analytics: Explore Moirai, Salesforce's new foundation model for advanced time series forecasting- 23928Murphy2025-03-22
Using a Multimodal Document ML Model to Query Your Documents
Leverage the power of the mPLUG-Owl document understanding model to ask questions about your documents- 26956Murphy2025-03-22
Groq, and the Hardware of AI – Intuitively and Exhaustively Explained
An analysis of the major pieces of computer hardware used to run AI, along with a new heavy hitter.- 20264Murphy2025-03-22
How to Use Python Built-In Decoration to Improve Performance Significantly
How to implement a caching mechanism in Python, and when not to use it?- 28236Murphy2025-03-22
Seven Requisite Skills for Navigating from Data Science to Applications
Helping Entry-Level Data Scientists to Transform Ideas into Industrial-Level applications.- 20705Murphy2025-03-22
Next-Level Anomaly Detection: Unlocking Neural Insights
Transform anomaly detection with the power of neurons!- 25195Murphy2025-03-22
How to Use Synthetic and Simulated Data Effectively
Our weekly selection of must-read Editors' Picks and original features- 29785Murphy2025-03-22
Using Python to Explore and Understand Equations in Petrophysics
A simple way to understand parameters to the Archie Water Saturation equation using Python- 22831Murphy2025-03-22
Live Graphs with FFmpeg to Enhance your Data Storytelling
Animate your Data Visualizations with this FFmpeg Tutorial- 20209Murphy2025-03-22
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.