On this five-day course you will start to think strategically and analytically about Machine Learning as a business process and consider the implications of starting to use Machine Learning models.
You will learn the key phases of converting a candidate use case to be driven by machine learning and the correct order in which these phases should be undertaken. You will also discover how ML optimisation works and how various hyperparameters affect models during optimisation.
You will learn how to write models in TensorFlow using both pre-made estimators as well as custom ones and train them locally or in Cloud AI Platform and why feature engineering is critical to success and how you can use various technologies including Cloud Dataflow and Cloud Dataprep.
You will also cover how to set up a supervised learning problem and find a good, generalizable solution using gradient descent and creating datasets.
Our Machine Learning on Google Cloud Platform course is offered as a private training session and will run over five consecutive days. It can be delivered at our own training facilities in San Francisco and Baltimore, a location of your choice or via Virtual Classroom.