ISBN: 9781788295864 - machine learning with r: expert techniques for predictive modeling, 3rd edition (8 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Packt Publishing Limited, 2019

    1788295862 / 9781788295864

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    Paperback. Zustand: Very Good. Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book DescriptionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.What you will learn Discover the origins of machine learning and how exactly a computer learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor and Bayesian methods Predict future events using decision trees, rules, and support vector machines Forecast numeric data and estimate financial values using regression methods Model complex processes with artificial neural networks ? the basis of deep learning Avoid bias in machine learning models Evaluate your models and improve their performance Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.…

  • Sprache: Englisch

    Verlag: Packt Publishing Limited, 2019

    1788295862 / 9781788295864

    • Softcover

    Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)

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    Paperback. Zustand: Good. Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book DescriptionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.What you will learn Discover the origins of machine learning and how exactly a computer learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor and Bayesian methods Predict future events using decision trees, rules, and support vector machines Forecast numeric data and estimate financial values using regression methods Model complex processes with artificial neural networks ? the basis of deep learning Avoid bias in machine learning models Evaluate your models and improve their performance Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.…

  • Sprache: Englisch

    Verlag: Packt Publishing, Limited, 2019

    1788295862 / 9781788295864

    • Softcover

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    Zustand: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

  • Sprache: Englisch

    Verlag: Packt Publishing, Limited, 2019

    1788295862 / 9781788295864

    • Softcover

    Anbieter: Better World Books, Mishawaka, IN, USABetter World Books

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    Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

  • Sprache: Englisch

    Verlag: Packt Publishing, 2019

    1788295862 / 9781788295864

    • Softcover

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    paperback. Zustand: Near Fine. Condition Notes: Excellent, unmarked copy with little wear and tight binding. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders.

  • Sprache: Englisch

    Verlag: Packt Publishing, 2019

    1788295862 / 9781788295864

    • Softcover

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    Paperback. Zustand: Good. minor wear and creasing.

  • Sprache: Englisch

    Verlag: Packt Publishing, 2019

    1788295862 / 9781788295864

    • Softcover

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Packt Publishing, 2019

    1788295862 / 9781788295864

    • Softcover

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    Zustand: New. 2019. 3rd ed. paperback. . . . . . Books ship from the US and Ireland.