Machine Learning with TensorFlow on Google Cloud Platform Specialization
This five-course online specialization teaches course participants how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer highperformance predictions. Also featured is the conversion of raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. It also teaches how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. Course participants experimented with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with handson labs using Google Cloud Platform.
The specialization has 5 courses:
- How Google does Machine Learning
- Launching into Machine Learning
- Intro to TensorFlow
- Feature Engineering
- Art and Science of Machine Learning