Data Modeling & Design 18

A quick start guide to visualize your Elasticsearch dataKey FeaturesYour hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stackWork with different Kibana plugin……続きを見る

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.Key FeaturesLearn about the core concepts and the latest developments i……続きを見る

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Pro……続きを見る

Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau ServerKey FeaturesMaster new features in Tablea……続きを見る

Manipulate and analyze network data with the power of Python and NetworkXKey FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to repr……続きを見る

Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Pyth……続きを見る

A step-by-step approach to building stunning dashboards with QlikViewKey FeaturesPerform effective storytelling through interactive dashboards built with QlikViewCreate different types of visualizat……続きを見る

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software appli……続きを見る

Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applicationsKey FeaturesMaster the new features and capabilities of MongoDB 4.xImplement advanced data modeling, que……続きを見る

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.Key FeaturesTrain your own models for effective prediction, using high-level Keras……続きを見る

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data us……続きを見る

Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasksKey FeaturesExplore efficient Reinforcement Learning algorithms and code them using……続きを見る

Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is hap……続きを見る

★☆**Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your……続きを見る

An expert guide to implementing fast, secure, and scalable decentralized applications that work with thousands of users in real timeKey FeaturesImplement advanced features of the Ethereum network to……続きを見る

A complete guide to understanding, developing, and testing popular security-token smart contractsKey FeaturesUnderstand key Blockchain and Ethereum platforms conceptsStep-by-step guide to developing……続きを見る

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide.Key FeaturesConstruct and deploy machine learning systems that learn from your data and give accurate pred……続きを見る

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queriesKey FeaturesDiscover T-SQL functionalities and services that help you interact with relational……続きを見る

Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problemsKey FeaturesGain a comprehensive overview of different mach……続きを見る

La TI no sólo forma parte de la estrategia de la empresa como un diferencial, sino que también puede ser el principal combustible que hay detrás de una organización. Las búsquedas por medio de la TI……続きを見る

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the fundamentals of deep learning and neural networks Use R 3.5 a……続きを見る

Leverage the power of Python and statistical modeling techniques for building accurate predictive modelsKey FeaturesGet started with Python's rich suite of libraries for statistical modelingImplemen……続きを見る

El mundo actual se encuentra bajo constante cambio, de grandes avances y descubrimientos, apalancado principalmente por la globalización y por las nuevas tecnologías, acarreando una fuerte competiti……続きを見る

El buen uso de las bases de datos es fundamental para las buenas prácticas en la programación actual. Una base de datos optimizada, con sus backups automatizados, con el uso de triggers, etc... es l……続きを見る

This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exempli……続きを見る

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey FeaturesManipulate location-based data and create intelligent geospatial data modelsBuil……続きを見る

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skillsKey FeaturesSpeed up your data analysis projects using powerful R packages and techniquesCrea……続きを見る

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how ……続きを見る

'The book under review is an interesting elaboration that fills the gaps in libraries for concisely written and student-friendly books about essentials in computer science … I recommend this book fo……続きを見る

All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummi……続きを見る