Splitting Data by Asking Questions: decision trees
A description of decision trees and the way to build them, using accuracy, the Gini impurity index, and information gain.
Using Probability to its Maximum: The naive Bayes model
A description of Bayes theorem and the naive Bayes model, used in a medical application.
A quick tour of machine learning
A survey of machine learning, including supervised learning (regression, classification) and unsupervised learning.
Shannon Entropy, Information Gain, and Picking Balls from Buckets
Shannon entropy and information gain explained with a game of placing balls into buckets
Why Generative Modeling Is Leading the Race to Practical Quantum Advantage
A survey of quantum generative machine learning and its potential for quantum advantage, with Zapata Computing
How Quantum Computing Solves A Fundamental Business Problem: Optimization
Applications of quantum computing in several areas of optimization, with Zapata Computing
Making the Quantum Computing Mindset Change from Algorithms to Workflows
The importance of workflows and the idea of hybrid computation (quantum + classical), with Zapata Computing
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