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• Quantum Machine Learning: Quantum Machine Learning is a subfield of Artificial Intelligence and Data Science that combines the principles of quantum mechanics with classical machine learning algorithms to solve complex problems. It involves the use of quantum comput ... Read More >>
• Transparency: Transparency refers to the ability to clearly understand and interpret the processes, decisions, and outcomes of a data science model. It involves making the data, algorithms, and assumptions used in the model accessible and understandable ... Read More >>
• GAN: GAN stands for Generative Adversarial Network, which is a type of neural network architecture used in unsupervised machine learning. GANs consist of two neural networks, a generator and a discriminator, that are trained together in a game-l ... Read More >>