So far, in previous chapters, we went through the various ETL processes available in GCP. In this chapter, we will start our journey of machine learning and deep learning through the following topics:
- Applications of machine learning
- Supervised and unsupervised machine learning
- Overview of major machine learning techniques
- Data splitting
- Measuring the accuracy of a model
- The difference between machine learning and deep learning
- Applications of deep learning
