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  1. 1
    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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  2. 2
    AI and machine learning / Was Rahman.

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

    Published 2020
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  3. 3
    An elementary introduction to statistical learning theory / Sanjeev Kulkarni, Gilbert Harman.

    An elementary introduction to statistical learning theory / Sanjeev Kulkarni, Gilbert Harman. by Kulkarni, Sanjeev

    Published 2011
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  4. 4
    Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk.

    Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk.

    Published 2005
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  5. 5
    The Bioinformatics : Machine Learning Approach.

    The Bioinformatics : Machine Learning Approach. by Brunak, Søren

    Published 2001
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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    Hands-On Artificial Intelligence for IoT : Expert Machine Learning and Deep Learning Techniques for Developing Smarter IoT Systems.

    Hands-On Artificial Intelligence for IoT : Expert Machine Learning and Deep Learning Techniques for Developing Smarter IoT Systems. by Kapoor, Amita

    Published 2019
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  13. 13
    Building Machine Learning Systems with Python : Explore Machine Learning and Deep Learning Techniques for Building Intelligent Systems Using Scikit-Learn and TensorFlow, 3rd Edition.

    Building Machine Learning Systems with Python : Explore Machine Learning and Deep Learning Techniques for Building Intelligent Systems Using Scikit-Learn and TensorFlow, 3rd Editio... by Pedro Coelho, Luis

    Published 2018
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  14. 14
    Machine learning approaches to bioinformatics / Zheng Rong Yang.

    Machine learning approaches to bioinformatics / Zheng Rong Yang. by Yang, Zheng Rong

    Published 2010
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  15. 15
    Machine learning for protein subcellular localization prediction / Shibiao Wan, Man-Wai Mak.

    Machine learning for protein subcellular localization prediction / Shibiao Wan, Man-Wai Mak. by Wan, Shibiao, Mak, M. W.

    Published 2015
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  16. 16
    Predictive medicine : artificial intelligence and its impact on health care business strategy / Emmanuel Fombu.

    Predictive medicine : artificial intelligence and its impact on health care business strategy / Emmanuel Fombu. by Fombu, Emmanuel

    Published 2020
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  17. 17
    AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / Dr. A.K. Pradeep, Andrew Appel, Stan Sthanunathan.

    AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / Dr. A.K. Pradeep, Andrew Appel, Stan Sthanunathan... by Pradeep, A. K., 1963-, Appel, Andrew, 1964-, Sthanunathan, Stan, 1959-

    Published 2018
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  18. 18
    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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  19. 19
    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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  20. 20
    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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