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  1. 1
    by Fink, Arlene, author
    Published 2020
    Book

    Conducting research literature reviews from the internet to paper
  2. 2
    Book

    Bayesian statistics for beginners a step-by-step approach
  3. 3
    by Matloff, Norman S., author
    Published 2019
    Book

    Probability and statistics for data science math + R + data
  4. 4
    by Fox, John, 1947- author
    Published 2019
    Book

    An R companion to applied regression
  5. 5
    by Fenton, Norman E.
    Published 2019
    Book

    Risk assessment and decision analysis with Bayesian networks
  6. 6
    by Gopal, M., author
    Published 2019
    Book

    Applied machine learning
  7. 7
    by Lambert, Ben
    Published 2018
    Book

    A student's guide to Bayesian statistics
  8. 8
    by Atienza, Rowel
    Published 2018
    Book

    Advanced deep learning with Keras apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
  9. 9
    by Adams, Byron., editor
    Published 2018
    Book

    Applied statistics fundamentals
  10. 10
    by Wade, F. D., author
    Published 2018
    Book

    Applied partial differential equations
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