
Learn neural networks, backpropagation, and build deep learning models using TensorFlow and Keras for tasks like image classification and natural language understanding.
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Focuses on modern generative AI models like GPT for text generation, chatbot development, and creative AI applications.
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Covers foundational AI concepts, types of learning, and real-world applications like image recognition, recommendation systems, and natural language processing.
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Covers supervised and unsupervised learning algorithms, data preprocessing, model evaluation, and deploying machine learning models using Python and TensorFlow.
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Study techniques for processing and analyzing textual data, including tokenization, stemming, named entity recognition, and transformers for NLP tasks.
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