{"product_id":"9781617299469-graph-algorithms-for-data-science","title":"Graph Algorithms for Data Science","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cb\u003eGraphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment.\u003c\/b\u003e   \u003cbr\u003e   \u003cbr\u003eIn       \u003ci\u003eGraph Algorithms for Data Science\u003c\/i\u003e    you will learn:   \u003cbr\u003e   \u003cbr\u003e   \u003cul\u003e\n\u003cli\u003eLabeled-property graph modeling\u003c\/li\u003e\n\u003cli\u003eConstructing a graph from structured data such as CSV or SQL\u003c\/li\u003e\n\u003cli\u003eNLP techniques to construct a graph from unstructured data\u003c\/li\u003e\n\u003cli\u003eCypher query language syntax to manipulate data and extract insights\u003c\/li\u003e\n\u003cli\u003eSocial network analysis algorithms like PageRank and community detection\u003c\/li\u003e\n\u003cli\u003eHow to translate graph structure to a ML model input with node embedding models\u003c\/li\u003e\n\u003cli\u003eUsing graph features in node classification and link prediction workflows\u003c\/li\u003e\n\u003c\/ul\u003e   \u003cbr\u003e   \u003ci\u003eGraph Algorithms for Data Science\u003c\/i\u003e    is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It's filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don't need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.      about the technology  Graphs reveal the relationships in your data. Tracking these interlinking connections reveals new insights and influences and lets you analyze each data point as part of a larger whole. This interconnected data is perfect for machine learning, as well as analyzing social networks, communities, and even product recommendations.    about the book    \u003ci\u003eGraph Algorithms for Data Science\u003c\/i\u003e   teaches you how to construct graphs from both structured and unstructured data. You'll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. The book explores common and useful graph algorithms like PageRank and community detection\/clustering algorithms. Each new algorithm you learn is instantly put into action to complete a hands-on data project, including modeling a social network! Finally, you'll learn how to utilize graphs to upgrade your machine learning, including utilizing node embedding models and graph neural networks.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":53539755819382,"sku":"9781617299469","price":44.18,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_41503105_e5713ad4-79b4-4afe-9934-c57317e1bbf6.jpg?v=1780539207","url":"https:\/\/www.rarewaves.com\/products\/9781617299469-graph-algorithms-for-data-science","provider":"Rarewaves.com","version":"1.0","type":"link"}