Description: Graph Algorithms for Data Science by Tomaz Bratanic Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Graphs 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. In Graph Algorithms for Data Science you will learn: Labeled-property graph modelingConstructing a graph from structured data such as CSV or SQLNLP techniques to construct a graph from unstructured dataCypher query language syntax to manipulate data and extract insightsSocial network analysis algorithms like PageRank and community detectionHow to translate graph structure to a ML model input with node embedding modelsUsing graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Its filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. Youll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You dont 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 Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. Youll 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, youll learn how to utilize graphs to upgrade your machine learning, including utilizing node embedding models and graph neural networks. Author Biography Toma Bratani is a network scientist at heart, working at the intersection of graphs and machine learning. He has applied these graph techniques to projects in various domains including fraud detection, biomedicine, business-oriented analytics, and recommendations. Details ISBN 1617299464 ISBN-13 9781617299469 Title Graph Algorithms for Data Science Author Tomaz Bratanic Format Paperback Year 2024 Pages 325 Publisher Manning Publications GE_Item_ID:158632999; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 60.63 USD
Location: Fairfield, Ohio
End Time: 2024-12-31T03:46:33.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781617299469
Book Title: Graph Algorithms for Data Science
Educational Level: High School, Elementary School
Number of Pages: 325 Pages
Publication Name: Graph Algorithms for Data Science
Language: English
Publisher: Manning Publications Co. LLC
Item Height: 0.7 in
Publication Year: 2024
Subject: Data Processing, Databases / Data Mining
Item Weight: 23.1 Oz
Type: Study Guide
Author: Tomaz Bratanic
Item Length: 9.3 in
Subject Area: Computers
Item Width: 7.3 in
Format: Trade Paperback