Launching into ML en Espanol
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.
Description for Launching into ML en Espanol
Features of the Course:
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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