ML with TensorFlow on Google Cloud en Espanol Specialization
Through practical experiments utilizing TensorFlow and Google Cloud Platform, this�course offers a thorough grasp of machine learning, from strategy to deployment.
Description for ML with TensorFlow on Google Cloud en Espanol Specialization
Features of the Course:
Understanding Machine Learning: Acquire an understanding of the five critical phases involved in transforming a use case into a functional ML model, the categories of problems that machine learning can solve, and the definition of machine learning.
Supervised Learning and Gradient Descent: Develop generalizable solutions by knowing how to approach supervised learning problems, apply gradient descent, and construct datasets.
Building Distributed Machine Learning Models with TensorFlow: Develop the ability to create scalable machine learning models in TensorFlow for high-performance predictions.
Model Optimization and Data Preprocessing: Collect practical experience in the transformation of unprocessed data into features and the application of the appropriate parameters to construct generalized, precise models.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 2 months at 10 hours a week
Schedule: Flexible
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