Simple Machine Learning

Explore machine learning techniques for efficient data classification in this 55-minute PHP UK Conference talk. Learn basic approaches to machine-learned classification and witness a real-life PHP application. Discover methods to separate signal from noise, handle large input volumes, and move beyond manual processing or Mechanical Turk. Delve into topics such as unsupervised learning, regression, classification, training, feature extraction, feature vectors, probabilistic correlation, and Bayes' Theorem. Gain insights from a live demo, understand human learning aspects, and explore next steps in applying machine learning to your PHP projects.

Intro
Who is this guy?
The Challenge
How Insular is PHP?
Solutions
Tag By Hand
Mechanical Turk
Pattern Recognition
Teaching
Unsupervised Learning
Regression
Classification
Training
Feature Extraction
Feature Vectors
Probabilistic Correlation
Bayes' Theorem
Multivariate Bayes'
Demo Time
Human Learning
Lessons Learned
Next Steps
The Code
Questions?