Genuine Graph Machine Learning: Take Graph Data To The Next Level By Applying Machine Learning Techniques And Algorithms Instant 45% Discount [8cqmplhv]

Master Graph Machine Learning

Are you ready to take your data analysis to the next level? With "Graph Machine Learning," you'll learn how to harness the power of graph data and apply advanced machine learning techniques to gain valuable insights and make better business decisions.

Key Features:

• Implement cutting-edge machine learning algorithms in graph data to uncover hidden patterns and relationships.
• Learn how to identify the relationship between nodes and leverage topological information within your models.

Explore a comprehensive guide to graph theory and graph machine learning, equipping you with the knowledge to solve real-life problems across various domains. From social networks and text analytics to financial transaction systems, this book will teach you how to build and scale out data-driven applications for graph analytics.

Unlock the Potential of Graph Data

Whether you're a data scientist, data analyst, or machine learning developer, "Graph Machine Learning" is your ultimate resource. This book covers essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications. Key highlights include:

• Write Python scripts to extract features from graphs and implement graph embedding techniques.
• Understand the differences between shallow embedding methods, graph neural networks, and graph regularization methods.

With "Graph Machine Learning," you'll gain the skills to deploy and scale out your applications seamlessly, empowering you to make data-driven decisions and drive innovation in your field.