Data Types and Formats
In the realm of artificial intelligence and machine learning, data is the lifeblood that powers intelligent systems. As we delve into AI development with PHP, understanding the various types and formats of data becomes crucial. This chapter explores the diverse landscape of data structures and representations commonly encountered in AI applications.
Data in AI comes in many shapes and sizes, each with its own characteristics, strengths, and challenges. From the structured rows and columns of traditional databases to the unstructured chaos of natural language text and media files, AI systems must be adept at handling a wide spectrum of data types. Moreover, the format in which this data is stored and transmitted plays a vital role in the efficiency and effectiveness of our AI algorithms.
In this chapter, we'll explore:
Structured vs. Unstructured Data: We'll examine the differences between neatly organized structured data and the more complex unstructured data, and how each is used in AI applications.
Common Data Types in AI: We'll look at numerical data, categorical data, time series, text, images, audio, and video, understanding how each type is processed and utilized in machine learning models.
Data Formats and File Types: We'll dive into various file formats and data serialization methods, from CSV and JSON to more specialized formats like ARFF and HDF5.
Data Encoding and Representation: We'll explore how different data types are encoded and represented in memory and on disk, including concepts like one-hot encoding and feature vectorization.
Handling Data in PHP: We'll discuss PHP's built-in functions and libraries for working with different data types and formats, as well as best practices for data manipulation in AI contexts.
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