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  1. 1
    Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini.

    Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini. by Shawe-Taylor, John

    Published 2004
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  2. 2
    Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn / Stephen Klosterman.

    Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn / Stephen Klosterman. by Klosterman, Stephen

    Published 2019
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  3. 3
    Least Squares Support Vector Machines.

    Least Squares Support Vector Machines. by Suykens, Johan A. K.

    Published 2002
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  4. 4
    Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving.

    Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving. by De Bruyne, Steven

    Published 2010
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  5. 5
    Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy.

    Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy. by Loy, James

    Published 2019
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  6. 6
    How to Talk to Data Scientists A Guide for Executives.

    How to Talk to Data Scientists A Guide for Executives. by Elser, Jeremy

    Published 2021
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  7. 7
    Natural Language Processing and Computational Linguistics : a Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras.

    Natural Language Processing and Computational Linguistics : a Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras. by Srinivasa-Desikan, Bhargav

    Published 2018
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  8. 8
    AI and machine learning / Was Rahman.

    AI and machine learning / Was Rahman. by Rahman, Was, 1965-

    Published 2020
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  9. 9
    Healthcare Analytics Made Simple : Techniques in Healthcare Computing Using Machine Learning and Python.

    Healthcare Analytics Made Simple : Techniques in Healthcare Computing Using Machine Learning and Python. by Kumar, Vikas (Vik)

    Published 2018
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  10. 10
    The Bioinformatics : Machine Learning Approach.

    The Bioinformatics : Machine Learning Approach. by Brunak, Søren

    Published 2001
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  11. 11
    Developmental robotics : from babies to robots / Angelo Cangelosi and Matthew Schlesinger ; foreword by Linda B. Smith.

    Developmental robotics : from babies to robots / Angelo Cangelosi and Matthew Schlesinger ; foreword by Linda B. Smith. by Cangelosi, Angelo, 1967-, Schlesinger, Matthew, 1967-

    Published 2015
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  12. 12
    Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.

    Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

    Published 2018
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  13. 13
    Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout / Jayani Withanawasam.

    Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout / Jayani Withanawasam. by Withanawasam, Jayani

    Published 2015
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  14. 14
    An inductive logic programming approach to statistical relational learning / Kristian Kersting.

    An inductive logic programming approach to statistical relational learning / Kristian Kersting. by Kersting, Kristian

    Published 2006
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  15. 15
    Data mining with decision trees : theory and applications / Lior Rokach, Oded Maimon.

    Data mining with decision trees : theory and applications / Lior Rokach, Oded Maimon. by Rokach, Lior

    Published 2008
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  16. 16
    Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza.

    Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza. by Atienza, Rowel

    Published 2020
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  17. 17
    Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques.

    Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques. by Tattar, Prabhanjan Narayanachar

    Published 2018
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  18. 18
    Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola.

    Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola. by Schölkopf, Bernhard

    Published 2002
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  19. 19
    Ontology learning and population : bridging the gap between text and knowledge / edited by Paul Buitelaar and Philipp Cimiano.

    Ontology learning and population : bridging the gap between text and knowledge / edited by Paul Buitelaar and Philipp Cimiano.

    Published 2008
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  20. 20
    Advanced Natural Language Processing with TensorFlow 2 Build Effective Real-World NLP Applications Using NER, RNNs, Seq2seq Models, Transformers, and More.

    Advanced Natural Language Processing with TensorFlow 2 Build Effective Real-World NLP Applications Using NER, RNNs, Seq2seq Models, Transformers, and More. by Bansal, Ashish

    Published 2021
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