Talk in English - US at Longhorn PHP Conference 2023
View Slides: https://www.canva.com/design/DAFyjvhyK78/fh1IuB_jhIFyFZrmLFacoA/edit
Checkout the code: https://github.com/markpruett571/rubixml-laravel-housing
Short URL: https://joind.in/talk/8cbb2
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In this talk, I will give an overview of using the RubixML PHP library to build machine learning models and run predictions. I will build an MVP using a dataset, model, and predictions with Rubix and the Laravel framework.
1. Quick Introduction to Machine Learning
2. Examples of Where Machine Learning Is Beneficial.
3. Types of Machine Learning
4. Types of Estimators
5. Exploratory Data Analysis (EDA)
6. Choosing an Estimator for Your Model
7. Example: Building a Housing Price Predictor with a Gradient Boosted Machine (GBM)
8. Questions/Discussion
Comments
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Well organized and presented. Good information to get started understanding the topic for further learning.
Good overview of using machine learning with PHP. Code snippets could have been bigger on the slides
Good overview of ML using PHP with examples!
Good talk with enough background and working code to use to expire the topic more.
Good overall breakdown of high level machine learning concepts as well as some practical implementation details of the PHP library.
Very informative, and inspiring talk; gave both a good review and insight into how to start using Machine Learning with PHP, which I didn't think was possible.
Thank you for your talk!
This was a fantastic introduction to a topic I was not familiar with. I think some comparisons to similar work in other languages may have been helpful, as well as additional ideas for practical application in our day to day jobs.