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  1. 161
    Mastering machine learning with R : master machine learning techniques with R to deliver insights for complex projects / Cory Lesmeister.

    Mastering machine learning with R : master machine learning techniques with R to deliver insights for complex projects / Cory Lesmeister. by Lesmeister, Cory

    Published 2015
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  2. 162
    TensorFlow Machine Learning Projects : Build 13 Real-World Projects with Advanced Numerical Computations Using the Python Ecosystem.

    TensorFlow Machine Learning Projects : Build 13 Real-World Projects with Advanced Numerical Computations Using the Python Ecosystem. by Jain, Ankit

    Published 2018
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  3. 163
    Hands-On Java Deep Learning for Computer Vision : Implement Machine Learning and Neural Network Methodologies to Perform Computer Vision-Related Tasks.

    Hands-On Java Deep Learning for Computer Vision : Implement Machine Learning and Neural Network Methodologies to Perform Computer Vision-Related Tasks. by Ramo, Klevis

    Published 2019
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  4. 164
    Python Machine Learning by Example : Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition.

    Python Machine Learning by Example : Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition. by Liu, Yuxi (Hayden)

    Published 2019
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  5. 165
    Machine learning for dummies / by John Paul Mueller and Luca Massaron.

    Machine learning for dummies / by John Paul Mueller and Luca Massaron. by Mueller, John, 1958-, Massaron, Luca

    Published 2016
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  6. 166
    Machine Learning with Go Quick Start Guide : Hands-On Techniques for Building Supervised and Unsupervised Machine Learning Workflows.

    Machine Learning with Go Quick Start Guide : Hands-On Techniques for Building Supervised and Unsupervised Machine Learning Workflows. by Bironneau, Michael

    Published 2019
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  7. 167
    Big data analysis using machine learning for social scientists and criminologists / by Juyong Song and Tae Min Song.

    Big data analysis using machine learning for social scientists and criminologists / by Juyong Song and Tae Min Song. by Song, Juyoung, Song, T'ae-min

    Published 2019
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  8. 168
    Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino.

    Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. by Martino, Julio Cesar Rodriguez

    Published 2019
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  9. 169
    Practical Machine Learning with R : Define, Build, and Evaluate Machine Learning Models for Real-World Applications.

    Practical Machine Learning with R : Define, Build, and Evaluate Machine Learning Models for Real-World Applications. by Jeyaraman, Brindha Priyadarshini

    Published 2019
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  10. 170
    Artificial intelligence, machine learning, and deep learning / Oswald Campesato

    Artificial intelligence, machine learning, and deep learning / Oswald Campesato by Campesato, Oswald

    Published 2020
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  11. 171
    KVM Virtualization Cookbook.

    KVM Virtualization Cookbook. by Ivanov, Konstantin

    Published 2017
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  12. 172
    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / Theodore Petrou.

    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / Theodore Petrou. by Petrou, Theodore

    Published 2017
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  13. 173
    R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet / Mark Hodnett, Joshua F. Wiley.

    R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet / Mark Hodnett, Joshua F. Wiley. by Hodnett, Mark, Wiley, Joshua F.

    Published 2018
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  14. 174
    Advances in financial machine learning / Marcos López de Prado.

    Advances in financial machine learning / Marcos López de Prado. by López de Prado, Marcos Mailoc

    Published 2018
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  15. 175
    Approximation Methods for Efficient Learning of Bayesian Networks.

    Approximation Methods for Efficient Learning of Bayesian Networks. by Riggelsen, C.

    Published 2008
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  16. 176
    Artificial Intelligence by Example : Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills. / Denis Rothman (author).

    Artificial Intelligence by Example : Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills. / Denis Rothman (author). by Denis Rothman (author)

    Published 2020
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  17. 177
    Machine learning with R quick start guide : a beginner's guide to implementing machine learning techniques from scratch using R 3.5 / Iván Pastor Sanz.

    Machine learning with R quick start guide : a beginner's guide to implementing machine learning techniques from scratch using R 3.5 / Iván Pastor Sanz. by Pastor Sanz, Iván

    Published 2019
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  18. 178
    Just Enough R! : an Interactive Approach to Machine Learning and Analytics.

    Just Enough R! : an Interactive Approach to Machine Learning and Analytics. by Roiger, Richard J.

    Published 2020
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  19. 179
    Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models.

    Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

    Published 2018
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  20. 180
    Machine Learning with Core ML : an IOS Developer's Guide to Implementing Machine Learning in Mobile Apps.

    Machine Learning with Core ML : an IOS Developer's Guide to Implementing Machine Learning in Mobile Apps. by Newnham, Joshua

    Published 2018
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