Machine learning books and papers
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Gaussian Processes for Machine Learning (en).pdf
2.7 MB
Gaussian Processes for Machine Learning – C. E. Rasmussen, Christopher K. I. Williams (en) 2006
#book #middle #theory
@Machine_learn
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Understanding Machine Learning from Theory to Algorithms – Shai Shalev-Shwartz, Shai Ben-David (en) 2014
#book #junior #theory
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Understanding Machine Learning (en).pdf
2.9 MB
Understanding Machine Learning from Theory to Algorithms – Shai Shalev-Shwartz, Shai Ben-David (en) 2014
#book #junior #theory
@Machine_learn
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From Curve Fitting to Machine Learning – Achim Zielesny (en) 2016
#book #junior #theory
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From Curve Fitting to Machine Learning (en).pdf
35.6 MB
From Curve Fitting to Machine Learning – Achim Zielesny (en) 2016
#book #junior #theory
@Machine_learn
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Gaussian Processes for Machine Learning – C. E. Rasmussen, Christopher K. I. Williams (en) 2006
#book #middle #theory
@Machine_learn
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Gaussian Processes for Machine Learning (en).pdf
2.7 MB
Gaussian Processes for Machine Learning – C. E. Rasmussen, Christopher K. I. Williams (en) 2006
#book #middle #theory
@Machine_learn
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Python for Probability, Statistics, and Machine Learning — J. Unpingco (en) 2016
#book #middle #theory
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Python for Probability, Statistics and Machine Learning (en).pdf
7.1 MB
Python for Probability, Statistics, and Machine Learning — J. Unpingco (en) 2016
#book #middle #theory
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Real-World Machine Learning — Henrik Brink, Joseph W. Richards, Mark Fetherolf (en) 2017
#book #theory
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