Menu

Szukaj

Zamknij

Zaloguj się

Biblioteka

0,00 zł (0)

Koszyk

ODBIERZ TWÓJ BONUS :: »

Graph Data Analytics Sonal Raj

Język publikacji: 1
Graph Data Analytics Sonal Raj - okladka książki

Graph Data Analytics Sonal Raj - okladka książki

Autor:
Sonal Raj
Wydawnictwo:
BPB Publications (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
372
Dostępne formaty:
     ePub
     Mobi

Ebook 76,49 zł najniższa cena z 30 dni

89,90 zł (-10%)
80,91 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

76,49 zł najniższa cena z 30 dni

Przenieś na półkę

Do przechowalni

Description
For most modern-day data, graph data models are proving to be advantageous since they facilitate a diverse range of data analyses. This has spiked the interest and usage of graph databases, especially Neo4j. We study Neo4j and cypher along with various plugins that augment database capabilities in terms of data types or facilitate applications in data science and machine learning using plugins like graph data science (GDS). A significant portion of the book is focused on discussing the structure and usage of graph algorithms. Readers will gain insights into well-known algorithms like shortest path, PageRank, or Label Propagation among others, and how one can apply these algorithms in real-world scenarios within a Neo4j graph. Once readers become acquainted with the various algorithms applicable to graph analysis, we transition to data science problems. Here, we explore how a graph's structure and algorithms can enhance predictive modeling, prediction of connections in the graph, etc. In conclusion, we demonstrate that beyond its prowess in data analysis, Neo4j can be tweaked in a production setup to handle large data sets and queries at scale, allowing more complex and sophisticated analyses to come to life.

Key Features
Utilizing graphs to improve search and recommendations on graph data models.
Understand GDS and Neo4j graph algorithms including cluster detection, link prediction, and centrality.
Complex problem-solving for predicting connections, application in ML pipelines and GNNs using graphs.

What you will learn
Understand Neo4j graphs and how to effectively query them with cypher.
Learn to employ graphs for effective search and recommendations around graph data.
Work with graph algorithms to solve problems like finding paths, centrality metrics, and detection of communities and clusters.
Explore Neo4js GDS library through practical examples.
Integrate machine learning with Neo4j graphs, covering data prep, feature extraction, and model training.

Who this book is for
The book is intended to serve as a reference for data scientists, business analysts, graph enthusiasts, and database developers and administrators who work or intend to work on extracting critical insights from graph-based data stores.

Table of Contents
1. Data Representation as Graphs Introducing Neo4j
2. Processing Graphs with Cypher Queries
3. A Peek into Recommendation Engines and Knowledge Graphs
4. Effective Graph Traversal and the GDS Library
5. Centrality Metrics, PageRank, and Fraud Detection
6. Understanding Similarity and Cluster Analysis Algorithms
7. Applications of Graphs to Machine Learning
8. Link Prediction with Neo4j
9. Embedding, Neural Nets, and LLMs with Graphs
10. Profiling, Optimizing, and running Neo4j and GDS in Production

Wybrane bestsellery

O autorze książki

Sonal is a hacker, pythonista, big data believer and a technology dreamer. He has a passion for design and is an artist at heart. He blogs about technology, design and gadgets at https://www.sonalraj.com/. When not working on projects, he can be found travelling, stargazing or reading.

He has pursued engineering in computer science, a masters in IT and loves to work on community projects. He has been a research fellow at IISc and taken up projects on graph computations using Neo4j, Storm and NoSQL databases. Sonal has been a speaker at PyCon India and local Meetups and has also published articles and research papers in leading magazines and international journals. He has contributed to several open source projects. Presently, Sonal works at Goldman Sachs.

He is the author of Neo4j High Performance and has reviewed titles on technologies like Storm and Neo4j.

I am grateful to the author(s) for patiently listening to my critiques and I’d like to thank the open source community for keeping their passions alive and contributing to such remarkable projects. A special thank you to my parents, without whom I never would have grown to love learning as much as I do.

BPB Publications - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
80,91 zł
Dodaj do koszyka
Sposób płatności
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.