Главная
Study mode:
on
1
Intro
2
Who is this guy?
3
The Challenge
4
How Insular is PHP?
5
Solutions
6
Tag By Hand
7
Mechanical Turk
8
Pattern Recognition
9
Teaching
10
Unsupervised Learning
11
Regression
12
Classification
13
Training
14
Feature Extraction
15
Feature Vectors
16
Probabilistic Correlation
17
Bayes' Theorem
18
Multivariate Bayes'
19
Demo Time
20
Human Learning
21
Lessons Learned
22
Next Steps
23
The Code
24
Questions?
Description:
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.

Simple Machine Learning

PHP UK Conference
Add to list