Hidden Markov Models

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• Low-Power Designs: Low-power designs refer to the development of electronic systems that consume minimal power while maintaining their functionality. In the context of data science and artificial intelligence, low-power designs are crucial for the development ... Read More >>
• Object-oriented Programming: Object-oriented programming (OOP) is a programming paradigm that uses objects to represent and manipulate data. It is based on the concept of classes and objects, where a class is a blueprint for creating objects and objects are instances o ... Read More >>
• Trained Model Parameters: Trained model parameters refer to the weights and biases that are learned by a machine learning algorithm during the training process. These parameters are adjusted by the algorithm to minimize the difference between the predicted output an ... Read More >>