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Machine Learning for Developers

You're reading from   Machine Learning for Developers Uplift your regular applications with the power of statistics, analytics, and machine learning

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Length 270 pages
Edition 1st Edition
Languages
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Authors (2):
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Md Mahmudul Hasan Md Mahmudul Hasan
Author Profile Icon Md Mahmudul Hasan
Md Mahmudul Hasan
Rodolfo Bonnin Rodolfo Bonnin
Author Profile Icon Rodolfo Bonnin
Rodolfo Bonnin
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction - Machine Learning and Statistical Science 2. The Learning Process FREE CHAPTER 3. Clustering 4. Linear and Logistic Regression 5. Neural Networks 6. Convolutional Neural Networks 7. Recurrent Neural Networks 8. Recent Models and Developments 9. Software Installation and Configuration

References

  • Bellman, Richard, A Markovian decision process. Journal of Mathematics and Mechanics (1957): 679-684.
  • Kaelbling, Leslie Pack, Michael L. Littman, and Andrew W. Moore, Reinforcement learning: A survey. Journal of artificial intelligence research 4 (1996): 237-285.
  • Goodfellow, Ian, et al., Generative adversarial nets, advances in neural information processing systems, 2014
  • Radford, Alec, Luke Metz, and Soumith Chintala, Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015).
  • Isola, Phillip, et al., Image-to-image translation with conditional adversarial networks, arXiv preprint arXiv:1611.07004 (2016).
  • Mao, Xudong, et al., Least squares generative adversarial networks. arXiv preprint ArXiv:1611.04076 (2016).
  • Eghbal-Zadeh, Hamid, and Gerhard Widmer, Likelihood Estimation for Generative Adversarial...
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