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Launching into ML en Espanol

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Using Vertex AI and BigQuery ML, the course instructs students on how to improve data quality, construct AutoML models, and optimize models using performance metrics.

Key AI Functions:tensorflow,python programming,machine learning,feature engineering,ai & machine learning

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Description for Launching into ML en Espanol

Enhancing Data Quality and EDA: Discover how to improve data quality and conduct exploratory data analysis to acquire valuable insights prior to training models.
Building and Training AutoML Models: Learn how to construct, train, and deploy AutoML models without the need for coding using Vertex AI and BigQuery ML.
Model Optimization and Evaluation: Comprehend the process of optimizing machine learning models by utilizing performance metrics and loss functions to evaluate their effectiveness.
Scalable and Repeatable Machine Learning Pipelines: Acquire the ability to generate scalable and repeatable training, evaluation, and test data sets to ensure the consistent development of models.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 3 weeks at 4 hours a week

Schedule: Flexible

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