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eBooks Traitement des données

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  • Apache Spark Deep Learning Cookbook

    Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

    par Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood ...
    Run efficient deep learning models on Apache Spark using TensorFlow and KerasKey FeaturesTrain distributed complex neural networks on Apache SparkUse TensorFlow and Keras to train and deploy deep learning modelsExplore practical tips to enhance performanceBook DescriptionOrganizations these days need to integrate popular big data tools such as Apache Spark with highly efficient deep learning ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • SQL Server 2017 Machine Learning Services with R

    Data exploration, modeling, and advanced analytics

    par Julie Koesmarno, Toma≈æ Ka≈°trun Kaštrun ...
    Develop and run efficient R scripts and predictive models for SQL Server 2017Key FeaturesLearn how you can combine the power of R and SQL Server 2017 to build efficient, cost-effective data science solutionsLeverage the capabilities of R Services to perform advanced analytics—from data exploration to predictive modelingA quick primer with practical examples to help you get up- and- running with ... En savoir plus

    25,95 € ou Gratuit avec Kobo Plus

  • Implementing Splunk 7, Third Edition

    Effective operational intelligence to transform machine-generated data into valuable business insight

    par James D. Miller ...
    A comprehensive guide to making machine data accessible across the organization using advanced dashboards Key FeaturesEnrich machine-generated data and transform it into useful, meaningful insightsPerform search operations and configurations, build dashboards, and manage logsExtend Splunk services with scripts and advanced configurations to process optimal resultsBook DescriptionSplunk is the ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Data Analysis with R, Second Edition

    A comprehensive guide to manipulating, analyzing, and visualizing data in R

    par Tony Fischetti ...
    Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features\*\]Analyze your data using R – the most powerful statistical programming language\[\*\]Learn how to implement applied statistics using practical use-cases\[\*\ ... En savoir plus

    25,95 € ou Gratuit avec Kobo Plus

  • Practical Real-time Data Processing and Analytics

    Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

    par Shilpi Saxena, Saurabh Gupta, Selva raj Ramasamy, Prateek Bhati ...
    A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenarioKey FeaturesLearn about the various challenges in real-time data processing and use the right tools to overcome themThis book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problemsA practical ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Hands-On Deep Learning with TensorFlow

    Uncover what is underneath your data!

    par Danielle Van Boxel ...
    This book is your guide to exploring the possibilities in the field of deep learning, making use of Google\\'s TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data.Key Features\[\*\] Explore various possibilities with deep learning and gain amazing insights from data using Google’s ... En savoir plus

    23,16 € ou Gratuit avec Kobo Plus

  • Python for Finance

    Apply powerful finance models and quantitative analysis with Python

    par Yuxing Yan ...
    Learn and implement various Quantitative Finance concepts using the popular Python libraries Key Features\[\*\]Understand the fundamentals of Python data structures and work with time-series data\[\*\]Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib\[\*\]A step-by-step tutorial packed with many Python programs that will help you ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Practical Predictive Analytics

    Analyse current and historical data to predict future trends using R, Spark, and more

    par Ralph Winters ...
    Make sense of your data and predict the unpredictable Key Features\[\*\] A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics\[\*\] Apply the principles and techniques of predictive analytics to effectively interpret big data\[\*\] Solve real-world analytical problems with the help of practical case studies and real-world scenarios ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • R Data Analysis Cookbook, Second Edition

    Customizable R Recipes for data mining, data visualization and time series analysis

    par Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan ...
    Over 80 recipes to help you breeze through your data analysis projects using RKey Features\[\*\]Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipes\[\*\]Find meaningful insights from your data and generate dynamic reports\[\*\]A practical guide to help you put your data analysis skills in R to practical useBook DescriptionData analytics with R has ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Matplotlib 2.x By Example

    Multi-dimensional charts, graphs, and plots in Python

    par Allen Yu, Claire Chung, Aldrin Yim, Nikhil Borkar, Christopher Shoe ...
    Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x Key FeaturesCreate and customize live graphs, by adding style, color, font to make appealing graphs.A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, ... En savoir plus

    28,73 € ou Gratuit avec Kobo Plus

  • Advanced Analytics with R and Tableau

    Advanced analytics using data classification, unsupervised learning and data visualization

    par Jen Stirrup, Ruben Oliva Ramos, LOURDES BOLAÑOS PÉREZ ...
    Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RKey FeaturesA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and RCombine Tableau analytics and visualization with the power of R using this step-by-step guideWondering how R can be used with Tableau? This book is ... En savoir plus

    25,95 € ou Gratuit avec Kobo Plus

  • Cricket Meets AI

    Transforming the Game

    par Alexis Palmer ...
    Revolutionising Cricket with the Power of AI: An Exciting Journey for Fans and ProfessionalsImagine a world where the timeless spirit of cricket meets the cutting-edge innovation of artificial intelligence. This brilliantly crafted book takes you on an exhilarating journey through uncharted territory, demonstrating how AI is transforming cricket in ways you've never imagined.From the first ball ... En savoir plus

    4,36 € ou Gratuit avec Kobo Plus

  • Kibana 8.x – A Quick Start Guide to Data Analysis

    Learn about data exploration, visualization, and dashboard building with Kibana

    par Krishna Shah ...
    Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision makingKey FeaturesGain profound understanding of the end-to-end workings of KibanaExplore the powerful administration features in Kibana 8.x for managing and supporting data ingestion pipelinesBuild your own analytics and visualization solution from scratchPurchase of the ... En savoir plus

    21,31 € ou Gratuit avec Kobo Plus

  • Practical MongoDB Aggregations

    The official guide to developing optimal aggregation pipelines with MongoDB 7.0

    par Paul Done ...
    Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey FeaturesBuild effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential strategies to aggregate ... En savoir plus

    52,83 € ou Gratuit avec Kobo Plus

  • Data-Centric Business and Applications

    Advancing Success Through Operational Excellence, Financial Innovation, Digital Transformation, and Data-Driven Human Resource Management

    Modifié par Peter Madzík, Copuš Lukáš, Čarnogurský Karol ...
    Collection series Intelligent Technologies and Robotics (R0)
    This book provides a comprehensive insight into contemporary management challenges shaped by digital transformation, operational excellence, and data-driven human resource strategies. It presents innovative frameworks for decision-making, workforce optimization, and financial innovation by integrating theoretical perspectives with real-world applications. With contributions from international ... En savoir plus

    203,00 €

  • Machine Learning with Qlik Sense

    Utilize different machine learning models in practical use cases by leveraging Qlik Sense

    par Hannu Ranta ...
    Master the art of machine learning by using the one-of-a-kind Qlik platform, and take your data analytics skills to the next levelKey FeaturesGain a solid understanding of machine learning concepts and learn to effectively define a problemExplore the application of machine learning principles within the Qlik platformApply your knowledge of ML to real-world scenarios with the help of practical ... En savoir plus

    29,65 € ou Gratuit avec Kobo Plus

  • Practitioner’s Guide to Data Science

    Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform

    par Nasir Ali Mirza ...
    "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do.This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM ... En savoir plus

    Avant 14,31 € Après 12,56 € ou Gratuit avec Kobo Plus

  • iOS 15 Application Development for Beginners

    Learn Swift Programming and Build iPhone Apps with SwiftUI and Xcode 13

    par Arpit Kulsreshtha ...
    This book is a step-by-step, hands-on guide for Apple developers to build iOS apps using Swift programming with minimal effort. This book will help develop the knowledge and skills necessary to program Apple applications independently. This book introduces you to Swift, SwiftUI, MapKit, Xcode, and Core ML and guides you through the process of creating a strong, marketable iOS application.The book ... En savoir plus

    Avant 14,31 € Après 12,56 € ou Gratuit avec Kobo Plus

  • Machine Learning with Spark

    Develop intelligent, distributed machine learning systems

    par Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath, Brian O'Neill, Stephen Boesch ...
    Create scalable machine learning applications to power a modern data-driven business using Spark 2.xKey Features\[\*\] Get to the grips with the latest version of Apache Spark\[\*\] Utilize Spark's machine learning library to implement predictive analytics\[\*\] Leverage Spark’s powerful tools to load, analyze, clean, and transform your dataBook DescriptionThis book will teach you about popular ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Mastering Java for Data Science

    Analytics and more for production-ready applications

    par Alexey Grigorev ...
    Use Java to create a diverse range of Data Science applications and bring Data Science into productionKey Features\[\*\] An overview of modern Data Science and Machine Learning libraries available in Java\[\*\] Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks.\[\*\] Easy-to-follow illustrations and the running example of building ... En savoir plus

    32,43 € ou Gratuit avec Kobo Plus

  • Learning Pentaho Data Integration 8 CE

    An end-to-end guide to exploring, transforming, and integrating your data across multiple sources

    par Dan Keeley, Diethard Steiner, María Carina Roldán, Miguel Gaspar, Pablo Castagnaro, Paula Clemente, Paulo Alexandre de Oliveira Rodrigues Pires ...
    Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guideKey Features\[\*\]Manipulate your data by exploring, transforming, validating, and integrating it using Pentaho Data Integration 8 CE\[\*\]A comprehensive guide exploring the features of Pentaho Data Integration 8 CE\[\*\]Connect to any database engine, explore the databases, and perform all kind of ... En savoir plus

    Avant 36,76 € Après 32,43 € ou Gratuit avec Kobo Plus

  • Learning Elastic Stack 7.0

    Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

    par Pranav Shukla, Sharath Kumar ...
    A beginner\\'s guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook DescriptionThe Elastic ... En savoir plus

    23,16 € ou Gratuit avec Kobo Plus

  • Machine Learning with R Quick Start Guide

    A beginner's guide to implementing machine learning techniques from scratch using R 3.5

    par Iván Pastor Sanz ...
    Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.Key FeaturesUse R 3.5 to implement real-world examples in machine learningImplement key machine learning algorithms to understand the working mechanism of smart modelsCreate end-to-end machine learning ... En savoir plus

    19,46 € ou Gratuit avec Kobo Plus

  • Machine Learning with BigQuery ML

    Create, execute, and improve machine learning models in BigQuery using standard SQL queries

    par Alessandro Marrandino ...
    Manage different business scenarios with the right machine learning technique using Google s highly scalable BigQuery MLKey FeaturesGain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery MLLeverage SQL syntax to train, evaluate, test, and use ML modelsDiscover how BigQuery works and understand the ... En savoir plus

    28,73 € ou Gratuit avec Kobo Plus