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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition

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Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

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Learning pandas. High performance data manipulation and analysis using Python - Second Edition

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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition

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Learning Predictive Analytics with Python. Click here to enter text

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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R

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Learning QGIS. Create great maps and perform geoprocessing tasks with ease - Third Edition

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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more

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Learning Responsive Data Visualization. Create stunning data visualizations that look awesome on every device and screen resolutions

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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing

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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights

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Learning Spark SQL. Architect streaming analytics and machine learning solutions

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Learning Splunk Web Framework. Create, extend and publish real time Splunk applications

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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition

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Learning Three.js - the JavaScript 3D Library for WebGL. Create stunning 3D graphics in your browser using the Three.js JavaScript library

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Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN

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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML

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Linear Regression With Python. A Tutorial Introduction to the Mathematics of Regression Analysis

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LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential

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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning

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