DeepGuide for DeepSeek

Reinforcement Learning, Part 1: Introduction and Main Concepts
Making the first step into the world of reinforcement learning
23630Murphy2025-03-22
Linear Regressions for Causal Conclusions
An easy and yet powerful tool for decision making
29475Murphy2025-03-22
Building a simple Agent with Tools and Toolkits in LangChain
Get familiar with the building blocks of Agents in LangChain
22512Murphy2025-03-22
3 Best Methods for Spatial Interpolation
From scratch, in Python
23139Murphy2025-03-22
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)
22265Murphy2025-03-22
Scaling AI Models Like You Mean It
Strategies for Overcoming the Challenges of Scaling Open-Source AI Models in Production
21422Murphy2025-03-22
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)
25152Murphy2025-03-22
Why Human-Centred Approaches Lead to Better Algorithm Design
Some lessons I learned about quantifying qualitative thinking
27927Murphy2025-03-22
Turning Your Relational Database into a Graph Database
Leveraging LLMs to augment your data
20443Murphy2025-03-22
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.
27544Murphy2025-03-22
Addressing Spatial Dependencies
The Essentials of the Spatial Error Model
23413Murphy2025-03-22
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
23967Murphy2025-03-22
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
26993Murphy2025-03-22
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.
20301Murphy2025-03-22
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?
28273Murphy2025-03-22
Seven Requisite Skills for Navigating from Data Science to Applications
Helping Entry-Level Data Scientists to Transform Ideas into Industrial-Level applications.
20742Murphy2025-03-22
Next-Level Anomaly Detection: Unlocking Neural Insights
Transform anomaly detection with the power of neurons!
25234Murphy2025-03-22
How to Use Synthetic and Simulated Data Effectively
Our weekly selection of must-read Editors' Picks and original features
29824Murphy2025-03-22
Using Python to Explore and Understand Equations in Petrophysics
A simple way to understand parameters to the Archie Water Saturation equation using Python
22868Murphy2025-03-22
Live Graphs with FFmpeg to Enhance your Data Storytelling
Animate your Data Visualizations with this FFmpeg Tutorial
20246Murphy2025-03-22

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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

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