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These sources, including a video lecture and a briefing document, focus on the growing importance of AI and data skills for designers. They emphasize the necessity of learning fundamental libraries like NumPy and Pandas for data processing and analysis, likening their importance to design tools like Photoshop or SketchUp for architects. The materials cover key machine learning libraries such as PyTorch and TensorFlow, different types of datasets, and basic machine learning concepts, while encouraging practical learning through provided resources and exercises. Ultimately, the sources advocate for understanding the underlying principles of data science rather than simply following trends.
https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation
These sources, including a video lecture and a briefing document, focus on the growing importance of AI and data skills for designers. They emphasize the necessity of learning fundamental libraries like NumPy and Pandas for data processing and analysis, likening their importance to design tools like Photoshop or SketchUp for architects. The materials cover key machine learning libraries such as PyTorch and TensorFlow, different types of datasets, and basic machine learning concepts, while encouraging practical learning through provided resources and exercises. Ultimately, the sources advocate for understanding the underlying principles of data science rather than simply following trends.
https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation