Data Science with Generative AI - 2

Data Science with Generative AI - 2 Overview: This course will cover advanced techniques in data science, with a focus on leveraging generative AI models for various applications. You will learn how to use state-of-the-art language models, image generation models, and other generative AI tools to solve complex problems in data science. Key Topics: - Advanced natural language processing (NLP) techniques using transformer-based models like GPT, BERT, etc. - Generative models for text, image, and audio generation - Techniques for fine-tuning and adapting pre-trained generative models - Applications of generative AI in areas like content creation, data augmentation, and more - Ethical considerations and responsible use of generative AI Prerequisites: - Strong foundation in Python programming - Basic understanding of machine learning and data science concepts - Familiarity with deep learning frameworks like TensorFlow or PyTorch

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