Part 2 Web3 Machine Learning Cases

In this part of the book, we will apply common artificial intelligence tasks to Web3-related data. This approach offers us an overview of the tools commonly used in the Web3 space, building upon the data and sources explored in Part 1 of the book.

This part comprises the following chapters:

• Chapter 6, Preparing and Exploring Our Data
• Chapter 7, A Primer on Machine Learning and Deep Learning
• Chapter 8, Sentiment Analysis – NLP and Crypto-News
• Chapter 9, Generative Art for NFTs
• Chapter 10, A Primer on Security and Fraud Detection
• Chapter 11, Price Prediction with Time Series
• Chapter 12, Marketing Discovery with Graphs