A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...

One thing that never ceases to amaze me is how often the basics are ignored in hopes that the itty-bitty details will somehow make up for the lack of hard work. This is true in life and in AdWords as ...

Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

The study of decision trees and optimisation techniques remains at the forefront of modern data science and machine learning. Decision trees, with their inherent interpretability and efficiency, are ...

Dr. James McCaffrey of Microsoft Research explains how to implement a geometry-inspired optimization technique called spiral dynamics optimization (SDO), an alternative to Calculus-based techniques ...

Evolutionary algorithms (EAs) represent a class of heuristic optimisation methods inspired by natural selection and Mendelian genetics. They iteratively evolve a population of candidate solutions ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...