Pre-Training Metrics. Pre-training metrics are a great first-pass on a dataset. We can run a job with SageMaker Clarify to identify key differences in our dataset across various attributes of interest, or variables for which we’d like to learn about any imbalances or samples that are present in the dataset which may be likely to lead to a biased model.

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DOI: 10.1016/j.engappai.2023.107618 Corpus ID: 266280867; Driver distraction detection using semi-supervised lightweight vision transformer @article{Mohammed2024DriverDD, title={Driver distraction detection using semi-supervised lightweight vision transformer}, author={Adam A.Q. Mohammed and Xin Geng and Jing Wang and Zafar Ali}, journal={Engineering Applications of Artificial Intelligence
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In reality, ‘AI’ is a collection of targeted technologies, from natural language processing to vision identification to chatbots to analytics to automation—each with its own strengths and applications. What they all share is the intelligence factor: a high degree of accuracy and an incredibly fast, smart ability to learn from their mistakes.

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