There are many types of visualizations that are well known and that provide important information about our datasets and results. Each type of data and analysis has its own corresponding visualization.
Many data analysis and machine learning projects never pass the proof-of-concept stage. It is important to get them to a production environment where the analysis is continuous, from data extraction through to visualization.
This section comprises the following chapters:
- Chapter 8, Visualizing Data in Diagrams, Histograms, and Maps
- Chapter 9, Artificial Neural Networks
- Chapter 10, Azure and Excel - Machine Learning in the Cloud
- Chapter 11, The Future of Machine Learning
