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Machine Learning for Developers

You're reading from  Machine Learning for Developers

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Pages 270 pages
Edition 1st Edition
Languages
Authors (2):
Rodolfo Bonnin Rodolfo Bonnin
Profile icon Rodolfo Bonnin
Md Mahmudul Hasan Md Mahmudul Hasan
View More author details

Table of Contents (10) Chapters

Preface Introduction - Machine Learning and Statistical Science The Learning Process Clustering Linear and Logistic Regression Neural Networks Convolutional Neural Networks Recurrent Neural Networks Recent Models and Developments Software Installation and Configuration

References

  • Lichman, M. (2013). UCI Machine Learning Repository (http://archive.ics.uci.edu/ml). Irvine, CA: University of California, School of Information and Computer Science.
  • Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.
  • Townsend, James T. Theoretical analysis of an alphabetic confusion matrix. Attention, Perception, & Psychophysics 9.1 (1971): 40-50.
  • Peter J. Rousseeuw (1987). Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis. Computational and Applied Mathematics 20: 53-65.
  • Kent, Allen, et al, Machine literature searching VIII. Operational criteria for designing information retrieval systems. Journal of the Association for Information Science and Technology 6.2 (1955): 93...
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