Springer 发布了一些免费的图书, 其中包括一些machine learni

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Springer 发布了一些免费的图书, 其中包括一些machine learning的, 精选出来,供大家宅家期间学习进步
1. Linear and Nonlinear Programming
David G. Luenberger, Yinyu Ye
[url=Linear and Nonlinear Programming David G. Luenberger, Yinyu Ye http://link.springer.com/openurl ... n=978-3-319-18842-3]http://link.springer.com/openurl?genre=book&isbn=978-3-319-18842-3[/url]

2. Data Structures and Algorithms with Python
Kent D. Lee, Steve Hubbardhttp://link.springer.com/openurl?genre=book&isbn=978-3-319-13072-9

3. Introduction to Time Series and Forecasting
Peter J. Brockwell, Richard A. Davishttp://link.springer.com/openurl?genre=book&isbn=978-3-319-29854-2

4. Search Methodologies
Edmund K. Burke, Graham Kendall. 1point3acreshttp://link.springer.com/openurl?genre=book&isbn=978-1-4614-6940-7

5. Machine Learning in Medicine — a Complete Overview
Ton J. Cleophas, Aeilko H. Zwindermanhttp://link.springer.com/openurl?genre=book&isbn=978-3-319-15195-3

6. Applied Predictive Modeling
Max Kuhn, Kjell Johnsonhttp://link.springer.com/openurl?genre=book&isbn=978-1-4614-6849-3

7. Introduction to Deep Learning
Sandro Skansihttp://link.springer.com/openurl?genre=book&isbn=978-3-319-73004-2

8. Neural Networks and Deep Learning
Charu C. Aggarwalhttp://link.springer.com/openurl?genre=book&isbn=978-3-319-94463-0
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