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Art and Science of ML en Espanol

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Through hyperparameter tuning, regularization, and TensorFlow application, this course emphasizes the optimization of machine learning models.

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

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Description for Art and Science of ML en Espanol

Regularization for Model Generalization: Discover the utilization of regularization techniques to prevent overfitting and generalize machine learning models.
Hyperparameter Tuning: Investigate the influence of hyperparameters such as batch size and learning rate on the performance of machine learning models.
Model Optimization: Comprehend and implement model optimization algorithms to enhance the efficacy of machine learning models.
TensorFlow Application: Acquire the ability to directly apply optimization concepts to TensorFlow code in order to improve the performance and training of models.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 3 weeks at 6 hours a week

Schedule: Flexible

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