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You are a data scientist at an industrial equipment manufacturing company. Your task is to develop a regression model to estimate the power consumption in the company’s manufacturing plants. The data comes from sensors that collect tens of millions of records daily across all the plants. You need to schedule daily training runs for your model, incorporating all data collected up to the current date. The solution should scale smoothly and require minimal development work. Given these requirements, what approach should you take?
A
Develop a custom TensorFlow regression model, and optimize it using Vertex AI Training.
B
Develop a regression model using BigQuery ML.
C
Develop a custom scikit-learn regression model, and optimize it using Vertex AI Training.
D
Develop a custom PyTorch regression model, and optimize it using Vertex AI Training.