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« vijayakumar ramdoss »

1-12 sur 12 résultats pour « vijayakumar ramdoss »
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  • Statistics for Data Science

    Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

    par James D. Miller, James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, Vijayakumar Ramdoss ...
    Get your statistics basics right before diving into the world of data science Key FeaturesNo need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs;Implement statistics in data science tasks such as data cleaning, mining, and analysisLearn all about probability, statistics, numerical computations, and more with the help of R ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

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  • R in a Nutshell

    A Desktop Quick Reference

    par Joseph Adler ...
    If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from ... En savoir plus

    $54.99 CAD

  • Mastering Social Media Mining with R

    Extract valuable data from your social media sites and make better business decisions using R

    par Sharan Kumar Ravindran, Vikram Garg ...
    Extract valuable data from your social media sites and make better business decisions using RKey FeaturesExplore the social media APIs in R to capture data and tame itEmploy the machine learning capabilities of R to gain optimal business valueA hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with social media dataBook DescriptionWith an ... En savoir plus

    $33.99 CAD ou Gratuit avec Kobo Plus

  • Learning R

    A Step-by-Step Function Guide to Data Analysis

    par Richard Cotton ...
    Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything ... En savoir plus

    $47.99 CAD

  • Excel 2010 for Physical Sciences Statistics

    A Guide to Solving Practical Problems

    par Thomas J Quirk, Meghan Quirk, Howard Horton ...
    Collections series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is ... En savoir plus

    $64.09 CAD

  • KNIME Essentials

    Perform accurate data analysis using the power of KNIME

    par Gábor Bakos ...
    Perform accurate data analysis using the power of KNIMEKey FeaturesLearn the essentials of KNIME, from importing data to data visualization and reportingUtilize a wide range of data processing solutionsVisualize your final data sets using KNIME's powerful data visualization optionsBook DescriptionKNIME is an open source data analytics, reporting, and integration platform, which allows you to ... En savoir plus

    $33.99 CAD ou Gratuit avec Kobo Plus

  • Core Concepts in Data Analysis: Summarization, Correlation and Visualization

    par Boris Mirkin ...
    Collections series Computer Science (R0)
    Core Concepts in Data Analysis: Summarization, Correlation and Visualizationprovides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).Boris Mirkin takes an unconventional ... En savoir plus

    $42.99 CAD

  • Practical Machine Learning with H2O

    Powerful, Scalable Techniques for Deep Learning and AI

    par Darren Cook ...
    Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.If you’re familiar with R or Python, know a bit ... En savoir plus

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  • MATLAB for Machine Learning

    Practical examples of regression, clustering and neural networks

    par Giuseppe Ciaburro ...
    Extract patterns and knowledge from your data in easy way using MATLABKey FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Mastering Machine Learning with R

    Advanced prediction, algorithms, and learning methods with R 3.x

    par Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky ...
    Master machine learning techniques with R to deliver insights in complex projectsKey Features\[\*\] Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST\[\*\] Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning\[\*\] Implement advanced concepts in machine learning ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Building a Recommendation System with R

    Learn the art of building robust and powerful recommendation engines using R

    par Michele Usuelli ...
    Learn the art of building robust and powerful recommendation engines using RKey FeaturesBook DescriptionA recommendation system performs extensive data analysis in order to generate suggestions to its users about what might interest them. R has recently become one of the most popular programming languages for the data analysis. Its structure allows you to interactively explore the data and its ... En savoir plus

    $28.99 CAD ou Gratuit avec Kobo Plus

  • Excel 2010 for Social Science Statistics

    A Guide to Solving Practical Problems

    par Thomas J Quirk ...
    Collections series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this ... En savoir plus

    $64.99 CAD