Strategizing Your Preparation for Machine Learning Interviews
Decoding Job Roles and identify focus areas- 24389Murphy2025-03-23
High-Performance Data Processing: pandas 2 vs. Polars, a vCPU Perspective
Polars promises its multithreading capabilities outperform pandas. But is it also the case with a single vCore?- 28176Murphy2025-03-23
A Simple Strategy to Improve LLM Query Generation
Dynamic Few-Shot Prompting- 30129Murphy2025-03-23
Easy Object Detection with Yolo-NAS
Learn how to do object detection with Python using yolo-NAS- 25228Murphy2025-03-23
Short and Sweet: Enhancing LLM Performance with Constrained Chain-of-Thought
Sometimes few words are enough: reducing output length for increasing accuracy- 27156Murphy2025-03-23
An Introduction to Quantile Loss, a.k.a. the Pinball Loss
Learn the intuition behind the metric used to evaluate probabilistic forecasts- 25832Murphy2025-03-23
AI Shapeshifters: The Changing Role of the AI Engineer and Applied Data Scientist
The role of AI Engineer and Applied Data Scientist has undergone a remarkable transformation. Where is it heading and how can we prepare?- 21035Murphy2025-03-23
Visualizing Stochastic Regularization for Entity Embeddings
A glimpse into how neural networks perceive categoricals and their hierarchies- 26587Murphy2025-03-23
Data Value Lineage, meaning at last?
Maximise the business value of your data- 21076Murphy2025-03-23
Seven Key Features You Should Know for Creating Professional Visualizations with Plotly
Create Visualizations at the Level of Leading Newspapers- 27238Murphy2025-03-23
Reinforcement Learning, Part 6: n-step Bootstrapping
Pushing the boundaries: generalizing temporal difference algorithms- 29315Murphy2025-03-23
The Secret Network of Owls
A data-based tribute to the International Owl Awareness Day- 27703Murphy2025-03-23
How I Became a Data Scientist at Meta Without A "Perfect" Degree
4 jobs and 2 career pivots- 25495Murphy2025-03-23
How To Learn AI (Roadmap)
A full breakdown of how you can learn AI this year effectively- 28185Murphy2025-03-23
Spatial Interpolation in Python
Using the Inverse Distance Weighting method to infer missing spatial data- 22935Murphy2025-03-23
How to Use Machine Learning to Inform Design Decisions and Make Predictions
An Introductory Guide and Use Case for Applied Data Science- 20575Murphy2025-03-23
5 Proven Query Translation Techniques To Boost Your RAG Performance
How to get near-perfect LLM performance even with ambiguous user inputs- 24394Murphy2025-03-23
The Big Questions Shaping AI Today
Our weekly selection of must-read Editors' Picks and original features- 29731Murphy2025-03-23
3 Key Tweaks That Will Make Your Matplotlib Charts Publication Ready
Matplotlib charts are an eyesore by default - here's what to do about it.- 20500Murphy2025-03-23
Ask Not What AI Can Do for You – Ask What You Can Achieve with AI
Unlock AI for Everyone: Discover How You Can Use LLMs in Everyday Tasks- 24081Murphy2025-03-23
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
