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Data Science for Web3

You're reading from Data Science for Web3

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Pages 344 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gabriela Castillo Areco

Table of Contents (23) Chapters

Preface

Part 1 Web3 Data Analysis Basics

Chapter 1: Where Data and Web3 Meet

Chapter 2: Working with On-Chain Data

Chapter 3: Working with Off-Chain Data

Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity

Chapter 5: Exploring Analytics on DeFi

Part 2 Web3 Machine Learning Cases

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

Part 3 Appendix

Chapter 13: Building Experience with Crypto Data – BUIDL

Chapter 14: Interviews with Web3 Data Leaders

Index

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Appendix 1

Appendix 2

Appendix 3

Multichain protocols and cross-chain bridges

A bridge is a structure that facilitates the transfer of funds and information between different chains. The market recognizes three groups of chains:

L1 chains are the well-known blockchains, such as Bitcoin and Ethereum. It is called Layer 1 as the core team generates a layer of solutions over the foundation layer to increase scalability. An example of the evolution of L1 is the Ethereum merge, which occurred in September 2022.
L2 chains are integrations that run on top of a blockchain to improve specific aspects, often focusing on scalability. These scaling solutions allow the main chain to offload data to a parallel architecture, processing it there and saving only the results on the main chain. Successful L2 chains include Optimism, Arbitrum, and Polygon zkEVM.
Sidechains are new blockchains that are connected to a major blockchain. For instance, Rootstock is linked to Bitcoin, enabling EVM smart contract programming...

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Authors (1)

Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.

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