How to Build Graph Transformers with O(N) Complexity
Tutorial on Large-Graph Transformers- 20228Murphy ≡ DeepGuide
A Primer on Linear Algebra: Part 2
A gentle refresher on essential concepts and operations for data science- 20234Murphy ≡ DeepGuide
QQ Plotting Your Way to Data Enlightenment: A Hitchhiker's Guide to the Galaxies of Distributi
Is Your Data Normal? The Ultimate Guide to QQ Plots Using R- 24001Murphy ≡ DeepGuide
Ensemble Averaging in Medical Signal Processing
Simple yet so powerful method- 26509Murphy ≡ DeepGuide
Machine Learning, Illustrated: Opening Black Box Models with SHAP
How to explain any machine learning model using SHAP- 21696Murphy ≡ DeepGuide
Charting the Non-Parametric Odyssey: Statistical Frameworks for Distribution-Free Hypothesis…
Gauging the Mechanics of the Sign and Wilcoxon Signed Rank Tests- 27459Murphy ≡ DeepGuide
Modeling the World in a Deterministic Way with GEKKO
Photo by Iván Díaz on Unsplash With our world becoming more and more digitized, data collection is expanding rapidly. This data has allowed us to create more accurate models that have helped us to solve problems and find optimized solutions in many fields- 20618Murphy ≡ DeepGuide
Evaluation Metrics for Recommendation Systems – An Overview
Understanding the purpose and functionality of common metrics in ML packages- 29843Murphy ≡ DeepGuide
Math in the Real World: Tests, Simulations, and More
Our weekly selection of must-read Editors' Picks and original features- 29962Murphy ≡ DeepGuide
NP-What? Complexity Types of Optimization Problems Explained
An introduction to one of the central questions in computer science- 28242Murphy ≡ DeepGuide
The Gradient Descent Algorithm and the Intuition Behind It
A technical description of the Gradient Descent method, complemented with a graphical representation of the algorithm at work- 20835Murphy ≡ DeepGuide
An Accessible Derivation of Linear Regression
The math behind the model, from additive assumptions to pseudoinverse matrices- 28828Murphy ≡ DeepGuide
Discovering the Maxflow Mincut Theorem: A Comprehensive and Formal Approach
Exploring the field of flow networks and the Maxflow Mincut theorem- 20249Murphy ≡ DeepGuide
The Capture-ReCapture Method
Estimating a population size without counting it- 27239Murphy ≡ DeepGuide
Linear Algebra 1: Linear Equations and Systems
Systems of linear equations- 21202Murphy ≡ DeepGuide
Linear Algebra 2: Echelon Matrix Forms
Row echelon form and reduced row echelon form- 21667Murphy ≡ DeepGuide
A Bayesian Way of Choosing a Restaurant
Recently I was looking for a new good restaurant. Google Maps highlighted me 2 options: restaurant A with 10 reviews all 5 stars and...- 28119Murphy ≡ DeepGuide
Finding Order in Chaos with Polynomial Chaos Expansion, using uncertainpy and chaospy
Here's how to tackle chaotic problems using math, physics, Python and data science- 21075Murphy ≡ DeepGuide
Linear Algebra 3: Vector Equations
Vector Equations and Spans- 28624Murphy ≡ DeepGuide
Demystifying Rotation Matrix
How to rotate a vector in R² A rotation matrix is like a magical tool in the world of linear algebra, designed to spin vectors around in space with precision and ease. Imagine you have a vector, a little arrow pointing somewhere in space, and you want to- 28488Murphy ≡ 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