PHP Machine Learning and user-oriented content.

1. Introduction and my
motivation

2. What is the machine learning?

3. Predicting
Data Analysis
Hyping (the same is block-chaining)
Application Area

4. Finding associations
Classification
Regression
A lot of good things
PHP Machine learning

5. PHP-ML use cases
Targeted advertising
Predicting user characteristics: age, sex, language
spoken, interests, occupation and so on
Related content.
Duplicated content.
and thousands of other cases.

6. Finding associations
???

7. Apriori algorithm
Finding association without monotonicity
Support parameter
Confidence parameter

8. Shut up and show me the code!

9. Classifications
Please find a duck on the images above.

10. Support Vector Classification
Studying with the “teacher”
Flexible parameters
The most popular method

11. Support vector classifications demo
see:
https://php-ml.readthedocs.io/en/latest/m
achine-learning/classification/svc/

12. Support Vector Regression

13. Support Vector Regression
Find the dependency between samples
and targets
Main prediction algorithm

14. Support vector regression demo
see:
https://php-ml.readthedocs.io/en/latest/m
achine-learning/regression/svr/

15. PHP ML - Other features
Clustering (K-means algorithm). Similar to SV Classification method. The main
difference of this method is detecting new areas.
Metrics. Provides probability score. We can get the value of chance the some results is
present in the data set.
Pipeline. Allows to use multiple algorithms in the sequence. In other words you can
make calculation in the queue.
Neural network (MLPClassifier). Advanced classification feature. It is much more slower.
Datasets. A base class for handling input data. PHP Array, CSV, TXT and SVM files are
able from the box.

16. PHP-ML Disadvantages.
PHP PERFORMANCE!!!
Arkadiusz Kondas is working on the lib practically alone.
Algorithm c4.5/5.0 (Classification and Regression Tree) is not
implemented. We should use Pipelines + SVR/SVC but it is not very
comfortable.
Some major parameters of algorithms are dropped. For example lift()
in the Apriori

17. Alternatives

18. Acquia Lift
Cвiй, рiднесенький!
Module is available on drupal.org
Expensive.
Used algorithms are not published. Indeed we have API only.

19. TensorFlow
Free
Flexible.
Supports google cloud machine learning support is present (paid subscription).
Has JS fork.
Complex
Don’t have PHP support.

20. Memes.
The main machine learning problem
Мама: Если все пойдут с моста спрыгнут, ты тоже спрыгнешь?
Машина: Тоже спрыгну.

21. Questions?
alexandrlyalyuk@gmail.com
/MrLyalyuk