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Showing posts with the label Machine Learning

AI in Gaming: How the NPC Becomes Human

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SO, WHAT ARE NPCs? If you are into gaming, you definitely know what an NPC is. If you are tech-savvy and not into gaming, you can stumble upon NPC and its related content with a desultory web browsing. An NPC, short for non-Player Character, is a character in a game that is not controlled by humans. Though the NPCs are programmed by humans, they add life to the game and even pose as opposing characters to us in the game. This article will explore the basics of how AI is used and where it is used. Stay tuned for upcoming articles detailing on the jargons and particularities of this system! Battlefield Hardline, the game If you know the Red Dead Redemption series (a game series consisting of two parts and one online edition), the characters that you pass in the game while you ride your horse or do anything else are NPCs. The ones shooting at you are NPCs. The ones riding with you are NPCs. So, every other character, except yours, is an NPC. Some games have bad NPCs, while some have excel...

Mastering 3D Annotation Tools:- Empowering your Data Pre-Processing Workflow

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Data preprocessing is a crucial step in machine learning, involving the transformation of raw data into a suitable format for algorithmic interpretation. It encompasses data acquisition, cleaning, integration, transformation, and feature selection, all of which are essential for optimizing the performance of machine learning algorithms. Among the various steps in data preprocessing, data cleaning holds significant importance. It focuses on removing noise, biases, and outliers from the acquired dataset, ensuring that the data is reliable and representative of the underlying patterns. By eliminating unwanted elements, data cleaning lays the foundation for accurate and effective machine learning models. Data labeling is another critical aspect in the machine learning pipeline. It involves assigning labels or annotations to objects within the collected data, enabling algorithms to recognize and classify patterns accurately. In supervised machine learning, data labeling is instrumental in...