A few years before this book was written, businesses were approaching machine learning with the phrase Let's see what this thing can do... in mind. That is not the case any more. The value of using analytics, machine learning models, AI, and advanced visualizations to understand, simplify, and predict the outcome of many different situations is clear. This value is measured in terms of money, time, and effort savings, which leads to better and faster business decisions.
As a summary of what we have learned throughout this book, we can list the different parts of a data analysis flow:
- Data collection, usually from diverse sources
- Data cleansing and preparation, including exploratory visualizations
- Choosing a machine learning model that suits our data
- Training the model with historical data (if we are talking about supervised learning)
- Mining...
