Ai & Machine Learning

Launching into ML en Espanol

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Coursera

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

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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