Layered Feature Extraction
Laura discusses the use of features from multiple layers in image processing, emphasizing the importance of selecting the right output for specific tasks. She contrasts the excitement around computer vision with the more practical, yet crucial, realm of fraud detection in banking, highlighting the challenges of managing extensive rule sets in traditional systems. The conversation underscores the ongoing relevance of data cleaning and background removal in these applications.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ML Use Cases at Think Big Analytics with Mo Patel & Laura Frølich - #54
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