Introduction and General Concepts of Machine Learning and Data Science

Author:

Sandfeld Stefan

Publisher

Springer International Publishing

Reference8 articles.

1. C. B. Bishop. Pattern Recognition and Machine Learning. Springer, 2011. ISBN 978-0-387-31073-2. URL https://www.springer.com/gp/book/9780387310732.

2. T. M. Mitchell. Machine Learning. McGraw-Hill, 1997. ISBN 0070428077.

3. A. Müller. Introduction to Machine Learning with Python. O’Reilly, 2017. ISBN 978-1-449-36941-5.

4. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12: 2825–2830, 2011.

5. S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall Press, USA, 3rd edition, 2009. ISBN 0136042597.

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