CBSE Class 9 AI (Artificial Intelligence) | 19. INPUT by Abraham | Learn Smarter
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Knowledge
19. INPUT

The chapter examines the critical role of input data in Artificial Intelligence systems, emphasizing how various data types are essential for effective learning and decision-making processes. It discusses the significance of quality input for accurate predictions, explores notable data collection methods, and highlights ethical considerations surrounding data use. Through various applications, the chapter underscores the importance of input in powering real-life AI functionalities ranging from virtual assistants to self-driving cars.

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Sections

  • 19

    Input

    The input stage in AI encompasses the collection and preparation of data crucial for machine learning and decision-making.

    Learning Practice

  • 19.1

    What Is Input In Ai?

    Input in AI refers to the data fed into an AI system for processing and decision-making.

    Learning Practice

  • 19.2

    Importance Of Input

    Input data is crucial for the effectiveness and accuracy of AI systems, influencing their predictions and learning capabilities.

    Learning Practice

  • 19.3

    Types Of Input Data

    This section introduces the various types of input data utilized in AI, highlighting structured, unstructured, and semi-structured data.

    Learning Practice

  • 19.3.1

    Structured Data

    Structured data is organized in a predictable format, making it easier for AI systems to process and analyze.

    Learning Practice

  • 19.3.2

    Unstructured Data

    Unstructured data lacks a specific format, making it complex to analyze but rich in information.

    Learning Practice

  • 19.3.3

    Semi-Structured Data

    Semi-structured data is a type of data that is partially organized but does not conform to a strict structure, allowing for varied formats while still containing some organizational properties.

    Learning Practice

  • 19.4

    Sources Of Input Data

    This section discusses the different sources from which input data for AI systems can be obtained, highlighting their roles and examples.

    Learning Practice

  • 19.5

    Data Collection Methods

    This section discusses different data collection methods used in AI, emphasizing the importance and application of each method.

    Learning Practice

  • 19.5.a

    Manual Data Entry

    Manual data entry involves human input of data, which, while time-consuming, can ensure accuracy for small datasets.

    Learning Practice

  • 19.5.b

    Web Scraping

    Web scraping is an automated method for extracting data from websites, critical for gathering data efficiently and effectively.

    Learning Practice

  • 19.5.c

    Apis (Application Programming Interfaces)

    APIs are essential tools that enable systems to access and share data efficiently, facilitating interactions between different software applications.

    Learning Practice

  • 19.5.d

    Sensors And Devices

    This section explains how sensors and devices are critical for gathering input data in AI systems.

    Learning Practice

  • 19.6

    Data Validation And Cleaning

    This section discusses the importance of validating and cleaning data before its use in AI systems.

    Learning Practice

  • 19.7

    Tools Used For Input Processing

    This section outlines the various tools and technologies used for processing input data in AI systems.

    Learning Practice

  • 19.8

    Real-Life Applications Of Input In Ai

    This section discusses real-world examples of how input data is utilized in various AI applications.

    Learning Practice

  • 19.9

    Ethical Considerations In Input Collection

    This section discusses the ethical considerations surrounding the collection of input data for AI systems, emphasizing privacy, consent, bias, and security.

    Learning Practice

References

ch19.pdf

Class Notes

Memorization

What we have learnt

  • Input is crucial for AI sys...
  • Input data can be structure...
  • Proper methods of data coll...

Final Test

Revision Tests