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Data Mining Techniques

av Gordon S. Linoff

Discrete Mathematics

av Norman L. Biggs
Data Mining Techniques

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to ...

Discrete Mathematics

Biggs' Discrete Mathematics has been a best-selling textbook since the first and revised editions were published in 1986 and 1990, respectively. This second edition has been developed in response t...

Mathematics for Machine Learning

av Marc Peter Deisenroth

Mathematics for Machine Learning

av Marc Peter Deisenroth
Mathematics for Machine Learning

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics....

Mathematics for Machine Learning

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics....


Big Data: A Very Short Introduction Trustworthy Online Controlled Experiments Superintelligence Superintelligence
Big Data: A Very Short Introduction av Dawn E. HolmesTrustworthy Online Controlled Experimen... av Ron KohaviSuperintelligence av Nick BostromSuperintelligence av Nick Bostrom

Mining of Massive Datasets Machine Learning For Dummies Predictive Analytics Advances in Financial Machine Learning
Mining of Massive Datasets av Jure LeskovecMachine Learning For Dummies av John Paul MuellerPredictive Analytics av Ajit C. TamhaneAdvances in Financial Machine Learning av Marcos Lopez de Prado
  1. Discrete Mathematics av Norman L. Biggs
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  4. Superintelligence av Nick Bostrom
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  7. Mathematics for Machine Learning av Marc Peter Deisenroth
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  8. Code av Charles Petzold
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  9. Reinforcement Learning av Richard S. Sutton
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  10. Data Mining Techniques av Gordon S. Linoff
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