Use Graph Algorithms into a regular Machine Learning pipeline in Python Learn the core principles of the Graph Data Science Library to make predictions and create data science pipelines. Book ...

This will teach you the tricks of the profession from two practising Graph Data Scientists. Learn how to work with graph data, to building recommendation systems using simple and more complicated ...

Who this book is for If you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also ...

You’ll be guided through how to transition from traditional relational databases and tabular data, to graph data structures that allow powerful, path-based analyses. What’s more, you’ll learn how to ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Learn how to build knowledge graphs using Python and large language models (LLMs) to create intricate interconnected knowledge maps ...

Still using an RDBMS for friend-of-a-friend queries? Big mistake. Enlist a graph database using Neo4j instead.