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Building Web Applications with Python and Neo4j

licensing and installing Neo4j, learning the fundamentals of Cypher as a graph query language, and exploring Cypher optimizations. You will discover;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used;

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Learning Neo4j

This book is for developers who want an alternative way to store and process data within their appli;...

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Neo4j Cookbook

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neo4j Simply In Depth

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Neo4j High Performance

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Neo4j Graph Data Modeling

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Neo4j - A Graph Project Story

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Bases de donnees orientees graphes avec NEO4J

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Seven NoSQL Databases in a Week

A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis Key Features Covers the;

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Graph-Powered Machine Learning

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations;

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Seven Databases in Seven Weeks 2e

technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content;

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Visual Design of GraphQL Data

as with Neo4j graph databases. Spending time on schema quality means that you will work from sharper definitions, which in turn leads to;

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Nosql Distilled

present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j;

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Seven Databases In Seven Weeks

Redis, Neo4J, Couch, Mongo, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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E-learning 1.0, 2.0, and 3.0 in Higher Education

This book has a completely new take on e-learning in higher education, introducing a novel framework which distinguishes between e-learning;

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Adult Learning

This reader examines various approaches to learning and learning strategies, covering such topics as: informal learning; age differences;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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How We Learn

Having published in 11 languages and sold in more than 100,000 copies, this fully revised edition of How We Learn examines what learning;

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How We Learn

Having published in 11 languages and sold in more than 100,000 copies, this fully revised edition of How We Learn examines what learning;

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Digital Learning in Motion

Digital Learning in Motion provides a theoretical analysis of learning and related learning media in society. The book explores how;

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Learning-Centered Learning

This book is written for everyone who is interested in learners and the learning process. The purpose of this book is to articulate a 21st;

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