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Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithms
If you’re a researcher or industry professional analyzing data and are curious about network science approaches to data, this book is for you. To get the most out of the book, basic knowledge of Python, including pandas and NumPy, as well as some experience working with datasets is required. This book is also ideal for anyone interested in network science and learning how graph algorithms are used to solve science and engineering problems. R programmers may also find this book helpful as many algorithms also have R implementations.
Auteur(s): Farrelly, Colleen M. • Mutombo, Franck Kalala • Giske, Michael
Editeur: Packt Publishing
Année de Publication: 2024
pages: 290
Langue: Anglais
ISBN: 978-1-80512-789-5
eISBN: 978-1-80512-017-9
Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithms
If you’re a researcher or industry professional analyzing data and are curious about network science approaches to data, this book is for you. To get the most out of the book, basic knowledge of Python, including pandas and NumPy, as well as some experience working with datasets is required. This book is also ideal for anyone interested in network science and learning how graph algorithms are used to solve science and engineering problems. R programmers may also find this book helpful as many algorithms also have R implementations.