Art and Science of Machine Learning
Updated on
Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Intermediate
- Deadline
- Flexible
- Duration
- 19 hours
- Certificate
- Paid Certificate Available
- Course author
- Google Cloud Training
-
Generalize a ML model using Regularization techniques
Tune batch size and learning rate for better model performance
Optimize a ML model
Apply the concepts in TensorFlow code
Description
Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code.
