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Package ai-with-php-examples
Short Description Code examples provided for the book Artificial Intelligence with PHP.
License MIT
Informations about the package ai-with-php-examples
Examples for AI with PHP Learning Book
https://apphp.gitbook.io/artificial-intelligence-with-php/
⚠️ Disclaimer
The code examples provided for the book Artificial Intelligence with PHP are intended for educational purposes only. These examples are designed to illustrate concepts and techniques in artificial intelligence and machine learning using PHP. They are not suitable for production use and should not be deployed on live servers or systems that handle sensitive data.
These examples have not been subjected to rigorous security testing and may contain vulnerabilities, inefficiencies, or other issues that could pose security risks if used in production environments. We strongly advise readers to thoroughly test and secure any implementation of the techniques demonstrated in this book before using them in real-world applications.
The author and publisher are not responsible for any security breaches, data losses, or other damages that may result from using these examples on production servers.
Installation
To install these examples, follow these steps:
-
Clone the repository:
-
Navigate to the project directory:
-
Run following command. It will prepare and run docker containers with all required applications.
- After installation is complete, type in your browser: http://localhost:8088/
- If everything is OK, you should see the website with examples of code.
Using Libraries for UI
- Chart.js https://www.chartjs.org/
- Plotly.js https://plotly.com/javascript/
- Mermaid.js https://mermaid.js.org/
- MathJax https://www.mathjax.org/
- Regression-js [https://tom-alexander.github.io/regression-js/]
The Following Examples are Available:
- Artificial Intelligence
- Search Algoritms
- Uninformed (Blind) Search
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Depth-Limited Search (DLS)
- Iterative Deepening Depth-First Search (IDDFS)
- Uniform Cost Search (UCS)
- Bidirectional Search (BDS)
- Informed (Heuristic) Search
- Greedy Search
- A* Tree Search
- A* Graph Search
- Iterative Deepening A*
- Beam Search
- Machine Learning
- Mathematics for ML
- Scalar Operations with PHP
- Vector Operations with PHP
- Matrices with PHP
- Tensors
- Linear Transformations
- Scale Transformation
- Simple Linear Layer
- Fully Connected Layer
- ReLU Activation
- Data Fundamentals
- Big Data Techniques in PHP
- Chunked Processing
- Dataset Generator
- Stages of Data Processing
- Data Cleaning
- Data Cleaning
- Data Normalization
- Data Standardization
- Data Transformation
- Encoding Categorical Variables
- Normalizing and Scaling Numerical Features
- Reshaping Data Structures
- ML Algorithms
- Linear Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Neural Networks
- Types of NN
- Basic Neural Network
- Simple Perceptron