خرید و دانلود نسخه کامل کتاب Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms 1st Edition by Claudio Stamile

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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms 1st Edition by Claudio Stamile PDF

نویسنده: Claudio Stamile

Write Python scripts to extract features from graphs
Distinguish between the main graph representation learning techniques
Learn how to extract data from social networks, financial transaction systems, for text analysis, and more
Implement the main unsupervised and supervised graph embedding techniques
Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more
Deploy and scale out your application seamlessly

Who this book is for

This book is for data scientists, data analysts, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance using machine learning. It will also be useful for machine learning developers or anyone who wants to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is required, alongside a solid understanding of ML basics. You’ll also need intermediate-level Python programming knowledge to get started with this book.
Table of Contents

Getting Started with Graphs
Graph Machine Learning
Unsupervised Graph Learning
Supervised Graph Learning
Problems with Machine Learning on Graphs
Social Network Graphs
Text Analytics and Natural Language Processing Using Graphs
Graph Analysis for Credit Card Transactions
Building a Data-Driven Graph-Powered Application
Novel Trends on Graphs