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    Home » SGLearn@Artificial Intelligence I Basics and Games in Java
    Artificial Intelligence

    SGLearn@Artificial Intelligence I Basics and Games in Java

    JOATBy JOATJanuary 10, 2024No Comments3 Mins Read
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    SGLearn@Artificial Intelligence I Basics and Games in Java Free Download
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    SGLearn@Artificial Intelligence I Basics and Games in Java Free Download.

    Certainly! This SGLearn Series course on Artificial Intelligence is designed for learners based in Singapore who are looking to enhance their skill set. It’s an adapted version of a course by Holczer Balazs, produced in collaboration with Holczer specifically for Singaporean learners, making them eligible for the CITREP+ funding scheme.

    The course delves into fundamental AI concepts, showcasing their relevance in various fields such as software engineering and investment banking. As AI algorithms play a crucial role in pattern recognition, they have applications like cancer detection and predicting stock movements in the market.

    The course structure is divided into chapters, with the first one focusing on basic graph algorithms. These algorithms serve as foundational steps and are instrumental in solving more advanced problems.

    SGLearn@Artificial Intelligence I Basics and Games in Java Download.

    The second chapter covers local search techniques, including finding minimum and maximum values or global optima. These techniques are valuable, especially in scenarios involving regression, where one aims to find optimal parameters for fitting data. Both basic concepts and advanced algorithms, such as heuristics and meta-heuristics, are explored.

    The final topic of the course introduces the minimax algorithm, demonstrating its application in games like chess or tic-tac-toe. It covers building and analyzing game trees, and participants get hands-on experience implementing the tic-tac-toe game.

    It’s important to note that the last update for this course was in October 2016. The course is suitable for students or individuals with a background in basic Java and an interest in programming. Overall, it provides a comprehensive introduction to fundamental AI concepts with practical applications.


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