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Answer: CNN for image recognition tasks
Convolutional Neural Networks (CNNs) are specialized for processing grid-like data such as images, involving convolutional layers that apply filters to local input regions. BigQuery ML does not support CNNs due to their specialized nature and the platform's focus on more general-purpose machine learning models. ARIMA, Wide-and-Deep DNN models, and Ensemble Boosted Models are supported, catering to a wide range of predictive analytics tasks. For further details on supported models, consult the official documentation: [BigQuery ML Introduction](https://cloud.google.com/bigquery-ml/docs/introduction).
Author: LeetQuiz Editorial Team
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Your company, with limited machine learning expertise, is exploring BigQuery ML for its simplicity and managed service features to kickstart its ML journey. The team is currently assessing the platform's capabilities to ensure it aligns with various project requirements that involve designing and deploying models using a range of techniques and algorithms. Given the constraints of needing a solution that is both scalable and compliant with data governance policies, which of the following techniques or algorithms is not supported by BigQuery ML? Choose the best option.
A
ARIMA for time series forecasting
B
Wide-and-Deep DNN models for recommendation systems
C
CNN for image recognition tasks
D
Ensemble Boosted Model for classification problems
E
All of the above are supported
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