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« sergiy suchok »

1-12 sur 12 résultats pour « sergiy suchok »
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  • Mathematica Data Analysis

    Learn and explore the fundamentals of data analysis with power of Mathematica

    par Sergiy Suchok ...
    Learn and explore the fundamentals of data analysis with power of Mathematica Key Features\[\*\] Use the power of Mathematica to analyze data in your applications\[\*\] Discover the capabilities of data classification and pattern recognition offered by Mathematica\[\*\] Use hundreds of algorithms for time series analysis to predict the futureBook DescriptionThere are many algorithms for data ... En savoir plus

    $33.59 CAD ou Gratuit avec Kobo Plus

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  • Doing Data Science

    Straight Talk from the Frontline

    par Cathy O'Neil, Rachel Schutt ...
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... En savoir plus

    $32.79 CAD

  • 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

    $54.39 CAD

  • Hands-On Programming with R

    par Garrett Grolemund ...
    Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also ... En savoir plus

    $27.19 CAD

  • 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

    $47.19 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

    $33.59 CAD ou Gratuit avec Kobo Plus

  • 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

  • Statistics for Machine Learning

    Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

    par Pratap Dangeti ...
    Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... En savoir plus

    $47.19 CAD ou Gratuit avec Kobo Plus

  • 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

    $33.59 CAD ou Gratuit avec Kobo Plus

  • Bayesian Analysis with Python

    Unleash the power and flexibility of the Bayesian framework

    par Osvaldo Martin ...
    Unleash the power and flexibility of the Bayesian frameworkKey FeaturesSimplify the Bayes process for solving complex statistical problems using Python;Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises;Learn how and when to use Bayesian analysis in your applications with this guide.Book DescriptionThe purpose of ... En savoir plus

    $47.19 CAD ou Gratuit avec Kobo Plus

  • Sets, Logic and Maths for Computing

    par David Makinson ...
    Collections series Computer Science (R0)
    This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic ... En savoir plus

    $42.29 CAD

  • Machine Learning for Email

    Spam Filtering and Priority Inbox

    par Drew Conway, John Myles White ...
    If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional ... En savoir plus

    $12.79 CAD