Artificial Intelligence with PHP
English v2
English v2Русский
English v2
English v2Русский
  • Getting Started
    • Introduction
    • Audience
    • How to Read This Book
    • Glossary
    • Contributors
    • Resources
  • Artificial Intelligence
    • Introduction
    • Overview of AI
      • History of AI
      • Structure of AI
      • Types of AI
        • Reactive AI
        • Limited Memory AI
        • Theory of Mind AI
        • Self-Aware AI
      • How Does AI Work?
    • Application of AI
      • AI in Astronomy
      • AI in Healthcare
      • AI in Gaming
      • AI in Finance
      • AI in Data Security
      • AI in Social Media
      • AI in Travel and Transport
      • AI in Automotive Industry
      • AI in Robotics
      • AI in Entertainment
      • AI in Agriculture
      • AI in E-commerce
      • AI in Education
      • AI in Software Development
      • AI in Criminal Justice
      • AI in Criminal World
      • AI in Terrorist Activities
      • AI in Military Domain
      • AI in Adult Entertainment
      • AI in Transforming Our World
    • Agents in AI
      • Introduction to AI Agents
      • Structure of AI Agent
      • Components of AI Agents
      • Types of AI Agents
      • AI Agent Environment
      • AI Agent Architecture
      • Application of Agents in AI
      • Challenges in AI Agent Development
      • Turing Test in AI
      • Future of AI Agents
    • Problem Solving in AI
      • Introduction
      • Types of Search Algorithms
        • 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* Search
            • A* Tree Search
            • A* Graph Search
            • A* Graph vs A* Tree Search
          • Iterative Deepening A* Search
          • Beam Search
        • Comparison of Search Algorithms
      • Local Search
        • Hill Climbing Algorithm
      • Adversarial Search
      • Means-Ends Analysis
    • Decision Making in AI
    • Computational Theory in AI
  • Machine Learning
    • Introduction
    • Overview of ML
      • History of ML
        • Origins and Early Concepts
        • 19th Century
        • 20th Century
        • 21st Century
        • Coming Years
      • Key Principles
      • Problems and Challenges
      • Machine Learning Life Cycle
    • Mathematics for ML
      • Linear Algebra
        • Scalars
          • Definition and Operations
          • Scalars with PHP
        • Vectors
          • Definition and Operations
          • Vectors in Machine Learning
          • Vectors with PHP
        • Matrices
          • Definition and Types
          • Matrix Operations
          • Determinant of a Matrix
          • Cofactor Matrices
          • Adjugate Matrices
          • Inverse Matrices
          • Matrices in Machine Learning
          • Matrices with PHP
        • Tensors
          • Definition of Tensors
          • Tensor Properties
            • Tensor Dimension
            • Tensor Rank
            • Tensor Shape
            • Tensor Types
          • Tensor Operations
          • Practical Applications
          • Tensors in Machine Learning
          • Tensors with PHP
        • Linear Transformations
          • Introduction
          • LT Role in Neural Networks
          • LT with PHP
        • Eigenvalues and Eigenvectors
        • Norms and Distances
        • Linear Algebra in Optimization
      • Calculus
      • Probability and Statistics
      • Information Theory
      • Advanced Topics
    • Data Fundamentals
      • General Data Processing
        • Introduction
        • Data Types and Formats
          • Data Types
          • Structured Data Formats
          • Unstructured Data Formats
        • Storage and Management
          • Database Systems for AI
          • Efficient Data Storage Techniques
          • Big Data Considerations
            • Introduction
            • Big Data Techniques in PHP
          • Data Security and Privacy
          • Optimizing Data Retrieval for AI Algorithms
          • Data Serialization and Deserialization in PHP
          • Data Versioning and Management
      • ML Data Processing
        • Introduction
        • Types of Data in ML
        • Stages of Data Processing
          • Data Acquisition
            • Data Collection
            • Ethical Considerations in Data Preparation
          • Data Cleaning
            • Data Cleaning Types
            • Data Cleaning Examples
            • Implementation with PHP
          • Data Transformation
            • Data Transformation Types
            • Data Transformation Examples
            • Implementation with PHP ?..
          • Data Integration
          • Data Reduction
          • Data Validation and Testing
            • Data Splitting and Sampling
          • Data Representation
            • Data Structures in PHP
            • Data Visualization Techniques
    • ML Capabilities in PHP
      • Overview of ML Libraries in PHP
      • Configuring an Environment for PHP
        • Direct Installation
        • Using Docker
        • Additional Notes
      • Introduction to PHP-ML
      • Introduction to Rubix ML
    • ML Algorithms
      • Classification of ML Algorithms
        • By Types
        • By Tasks Resolved
        • By Methods Used
        • By Feature Types
      • Supervised Learning
        • Regression
          • Linear Regression
            • Types of Linear Regression ?..
            • Finding Best Fit Line
            • Assumptions of Linear Regression
            • Evaluation Metrics for Linear Regression
            • Gradient Descent
            • How It Works by Math
            • Implementation in PHP
              • Simple Linear Regression
              • Multiple Linear Regression
              • Polynomial Regression
        • Classification
      • Unsupervised Learning
        • Clustering
        • Dimension Reduction
        • Search and Optimization
      • Semi-Supervised Learning
        • Regression
        • Classification
        • Clustering
      • Reinforcement Learning
      • Distributed Learning
    • Integrating ML into Web
      • Open-Source Projects
      • Introduction to EasyAI-PHP
    • Key Applications of ML
    • Practice
  • Neural Networks
    • Introduction
    • Overview of NN
      • History of NN
      • Basic Components of NN
        • Neurons
        • Layers
        • Connections and Weights ?..
      • Types of NN Architectures
      • Problems and Challenges
      • How NN Works
    • NN Capabilities in PHP
    • Types of NN
      • Basic NN
        • Simple Perceptron
        • Implementation in PHP
      • NN with Hidden Layers
      • Deep Learning
      • Convolutional Neural Networks (CNN)
      • Recurrent Neural Networks (RNN)
      • Bayesian Neural Networks
  • Natural Language Processing
    • Introduction
    • NLP Capabilities in PHP
      • Overview of NLP Libraries in PHP
  • Computer Vision
    • Introduction
  • Robotics
    • Introduction
  • Cognitive Computing
    • Introduction
  • Expert Systems
    • Introduction
  • AI Ethics and Safety
    • Introduction
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