Machine learning books and papers
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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
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Mastering Machine Learning with Python in Six Steps — M. Swamynathan (en) 2017
#book #beginner #python
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Mastering Machine Learning with Python in Six Steps (en).pdf
9.6 MB
Mastering Machine Learning with Python in Six Steps — M. Swamynathan (en) 2017
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From Curve Fitting to Machine Learning – Achim Zielesny (en) 2016
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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
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Introduction to Deep Learning — Sandro Skansi (en) 2018

Введение в область нейронных сетей.

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Big Data Analysis for Bioinformatics and Biomedical Discoveries — Shui Qing Ye (en) 2015
#book #middle
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Big Data Analysis for Biomedical Discoveries (en).pdf
6.1 MB
Big Data Analysis for Bioinformatics and Biomedical Discoveries — Shui Qing Ye (en) 2015
#book #middle
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R: Unleash Machine Learning Techniques — Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister (en) 2016
#book #junior #r_lang
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R Unleash Machine Learning Techniques (en).pdf
26.3 MB
R: Unleash Machine Learning Techniques — Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister (en) 2016
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RNN.pdf
686.6 KB
#Recent Advances in Recurrent Neural Networks
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Python Machine Learning Case Studies — Danish Haroon (en) 2017
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Python Machine Learning Case Studies (en).pdf
8 MB
Python Machine Learning Case Studies — Danish Haroon (en) 2017
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#Starting Out With Python
#2018
#Book
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