A Quick Guide to Design Rigorous Machine Learning Experiments
How to compare ML models reliably- 28785Murphy ≡ DeepGuide
Analyze Scientific Publications with E-utilities and Python
How to gather data about scientific literature and discover trends- 27121Murphy ≡ DeepGuide
Finding Your Dream Master's Program in AI
A values-based approach to program choice and networking.- 26587Murphy ≡ DeepGuide
My Journey to PhD Admission in Artificial Intelligence
Personal recollections on navigating the unknown- 28192Murphy ≡ DeepGuide
Araucana XAI: Why Did AI Get This One Wrong?
Araucana XAI: Local Explainability With Decision Trees for Healthcare Introducing a new model-agnostic, post hoc XAI approach based on CART to provide local explanations improving the transparency of AI-assisted decision making in healthcare Why did AI ge- 21476Murphy ≡ DeepGuide
How to Use the T-Test and its Non-Parametric Counterpart
Do you really understand this test you likely learned in high school?- 24139Murphy ≡ DeepGuide
Automating Research Workflows with LLMs
Augmenting researchers with atomic usage of AI- 26410Murphy ≡ DeepGuide
How Artificial Intelligence Might be Worsening the Reproducibility Crisis in Science and Technology
Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems- 29288Murphy ≡ DeepGuide
The Death of the Static AI Benchmark
Benchmarks are often hailed as a hallmark of success but recent research studies and industry grumblings are casting doubt about their...- 25316Murphy ≡ DeepGuide
Topic Modeling Open-Source Research with the OpenAlex API
An overview of topic modeling global research through the OpenAlex API and visualizing results- 28181Murphy ≡ DeepGuide
ML Beginners Should Read Papers
Here's why and how- 21873Murphy ≡ DeepGuide
How (and Where) ML Beginners Can Find Papers
From conferences to surveys- 26942Murphy ≡ DeepGuide
Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners
Skip the noise and focus on what really matters in PINN development- 28590Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag