Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 344
- Dostępne formaty:
-
PDFePub
Opis
książki
:
Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data.
The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients.
By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
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Szczegóły książki
- Tytuł oryginału:
- Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
- ISBN Ebooka:
- 978-18-376-3558-0, 9781837635580
- Data wydania ebooka :
-
2023-12-29
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- Język publikacji:
- angielski
- Rozmiar pliku Pdf:
- 16.6MB
- Rozmiar pliku ePub:
- 14.4MB
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Oceny i opinie klientów: Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases Gabriela Castillo Areco, José Dahlquist (0)
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