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  1. AIML Tutorial

    AIML is an XML based markup language meant to create artificial intelligent applications. AIML makes it possible to create human interfaces while keeping the implementation simple to program, easy to …

  2. AIML - Introduction - Online Tutorials Library

    AIML stands for Artificial Intelligence Markup Language. AIML was developed by the Alicebot free software community and Dr. Richard S. Wallace during 1995-2000.

  3. AIML - Quick Guide - Online Tutorials Library

    AIML stands for Artificial Intelligence Markup Language. AIML was developed by the Alicebot free software community and Dr. Richard S. Wallace during 1995-2000.

  4. Regression Analysis in Machine Learning - Online Tutorials Library

    What is Regression Analysis? In machine learning, regression analysis is a statistical technique that predicts continuous numeric values based on the relationship between independent and dependent …

  5. Support Vector Machine (SVM) in Machine Learning

    What is Support Vector Machine (SVM) Support vector machines (SVMs) are powerful yet flexible supervised machine learning algorithm which is used for both classification and regression. But …

  6. Quiz on Introduction to AIML - Online Tutorials Library

    Quiz on Introduction to AIML - Explore the fundamentals of AIML (Artificial Intelligence Markup Language) and learn how it enables the development of intelligent agents.

  7. AIML - <srai> Tag - Online Tutorials Library

    <srai> Tag is a multipurpose tag. This tag enables AIML to define the different targets for the same template.

  8. AIML - Basic Tags - Online Tutorials Library

    In this tutorial, we'll discuss the basic tags of AIML. <aiml> − defines the beginning and end of a AIML document. <category> − defines the unit of knowledge in Alicebot's knowledge base. <pattern> − …

  9. Artificial Intelligence - Constraint Satisfaction Problem

    Constraint Satisfaction Problem (CSP) has a big impact on artificial intelligence (AI) when solving problems that need solutions to follow certain rules or limits. CSP helps to fix real-world issues that …

  10. Hypothesis in Machine Learning - Online Tutorials Library

    In machine learning, a hypothesis is a proposed explanation or solution for a problem. It is a tentative assumption or idea that can be tested and validated using data. In supervised learning, the …