Remove AWS Remove Data Preparation Remove K-nearest Neighbors
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Build a multimodal social media content generator using Amazon Bedrock

AWS Machine Learning Blog

Solution overview In this solution, we start with data preparation, where the raw datasets can be stored in an Amazon Simple Storage Service (Amazon S3) bucket. We provide a Jupyter notebook to preprocess the raw data and use the Amazon Titan Multimodal Embeddings model to convert the image and text into embedding vectors.

AWS 85
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Understanding and Building Machine Learning Models

Pickl AI

Key steps involve problem definition, data preparation, and algorithm selection. Data quality significantly impacts model performance. K-Nearest Neighbors), while others can handle large datasets efficiently (e.g., Key Takeaways Machine Learning Models are vital for modern technology applications.