Ai & Machine Learning

ML in the Enterprise

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Coursera

In the context of machine learning, this course teaches how to use Vertex AI for monitoring and prediction, manage and preprocess data, and apply model tweaking.

Key AI Functions:tensorflow, machine learning, cloud computing, ai & machine learning

Description for ML in the Enterprise

  • Data Administration, Oversight, and Preprocessing: Acquire the skills to articulate and implement data management, governance methodologies, and preprocessing strategies within a machine learning workflow.

  • Vertex AutoML, BigQuery ML, and Custom Training: Comprehend the appropriate contexts for employing Vertex AutoML, BigQuery ML, and custom training to enhance model creation and deployment.

  • Vertex Vizier Hyperparameter Optimization: Utilize Vertex Vizier for hyperparameter optimization to improve model performance and precision.

  • Batch and Online Predictions, Model Surveillance, and Pipelines: Acquire expertise in generating batch and online predictions, establishing model monitoring, and constructing pipelines utilizing Vertex AI.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 19 hours (approximately)

Schedule: Flexible

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