Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Computer Science
Năm:2019
In lần thứ:1
Ngôn ngữ:english
Trang:256 / 257
Learn how graph algorithms can help you leverage relationships within
your data to develop intelligent solutions and enhance your machine
learning models. With this practical guide,developers and data
scientists will discover how graph analytics deliver value, whether
they’re used for building dynamic network models or forecasting
real-world behavior.
Mark Needham and Amy Hodler from Neo4j explain
how graph algorithms describe complex structures and reveal
difficult-to-find patterns—from finding vulnerabilities and
bottlenecksto detecting communities and improving machine learning
predictions. You’ll walk through hands-on examples that show you how to
use graph algorithms in Apache Spark and Neo4j, two of the most common
choices for graph analytics.
Learn how graph analytics reveal more predictive elements in today’s data
Understand how popular graph algorithms work and how they’re applied
Use sample code and tips from more than 20 graph algorithm examples
Learn which algorithms to use for different types of questions
Explore examples with working code and sample datasets for Spark and Neo4j
Create an ML workflow for link prediction by combining Neo4j and Spark
Không có đánh giá!
Thêm đánh giá