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Exploit the power of ML
The use of Machine Leaning (ML) has increased substantially in enterprise data analytics scenarios to extract valuable insights from the engineering data. Hence, it is very important to have an ecosystem to build, test, deploy, and maintain the enterprise grade machine learning models in production environments.
We can create Machine Learning (ML) models for your needs, the development includes a series of steps as highlighted below.
The ML model development involves data acquisition from multiple trusted sources, data processing to make suitable for building the model, choose algorithm to build the model, build model, compute performance metrics and choose best performing model.
Also, the configuration management of ML model play an important role in model management as the number of models grow.