Artificial Intelligence Programming with Python

CHAPTER 11Data Analysis

“Data is the new oil.”

—Clive Robert Humby (British mathematician and entrepreneur in data science)

CHAPTER OUTLINE

• 11.1 Introduction
• 11.2 Regression
• 11.3 Time-Series Analysis
• 11.4 Predictive Maintenance Analysis
• 11.5 Anomaly Detection and Fraud Detection
• 11.6 COVID-19 Data Visualization and Analysis
• 11.7 KerasClassifier and KerasRegressor
• 11.8 SQL and NoSQL Databases
• 11.9 Immutable Database
• 11.10 Summary
• 11.11 Chapter Review Questions

11.1 Introduction

As Clive Robert Humby said, data is the new oil. Every day, business is generating enormous amounts of data, whether it is the data from social media, sales and marketing data from retailers, or data from manufacturers. Properly analyzing and utilizing the data can tremendously benefit the business. That is why data analysts and data scientists are among the highest paid professions. But you don't have to change your job to get this benefit. As Andrew Ng (British-born American computer scientist) once recommended, don't change your job; just add AI to it. Data is everywhere, data is in every discipline, and adding AI data analysis ability to your expertise will no doubt enhance your career prosperity and benefit you financially.

So, how to get started? Data analysis can be divided into three steps: collecting data, analyzing data, and writing a report.

1. Collecting data: First is to collect the data, which can be scientific measurement data or business data. The collected data can be saved ...