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01716nam a22003977a 4500 |
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AR-BaUEN |
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20210820160315.0 |
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210805s2019 uukd|||f |||| 001 0 eng d |
| 020 |
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|a 9781788295864
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| 040 |
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|a AR-BaUEN
|b spa
|c AR-BaUEN
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| 044 |
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|a xxk
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| 080 |
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|a 004.85
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| 100 |
1 |
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|a Lantz, Brett
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| 245 |
1 |
0 |
|a Machine learning with R :
|b expert techniques for predictive modeling /
|c Brett Lantz
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| 250 |
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|a 3rd ed.
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| 260 |
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|a Birmingham :
|b Packt,
|c c2019
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| 300 |
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|a xiii, 437 p. :
|b il., gráfs., tablas
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| 504 |
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|a Índice analítico de materias.
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| 505 |
0 |
0 |
|g Chapter 1
|t Introducing Machine Learning
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| 505 |
0 |
0 |
|g Chapter 2
|t Managing and Understanding Data
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| 505 |
0 |
0 |
|g Chapter 3
|t Lazy Learning – Classification Using Nearest Neighbors
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| 505 |
0 |
0 |
|g Chapter 4
|t Probabilistic Learning – Classification Using Naive Bayes
|
| 505 |
0 |
0 |
|g Chapter 5
|t Divide and Conquer – Classification Using Decision Trees and Rules
|
| 505 |
0 |
0 |
|g Chapter 6
|t Forecasting Numeric Data – Regression Methods
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| 505 |
0 |
0 |
|g Chapter 7
|t Black Box Methods – Neural Networks and Support Vector Machines
|
| 505 |
0 |
0 |
|g Chapter 8
|t Finding Patterns – Market Basket Analysis Using Association Rules
|
| 505 |
0 |
0 |
|g Chapter 9
|t Finding Groups of Data – Clustering with k-means
|
| 505 |
0 |
0 |
|g Chapter 10
|t Evaluating Model Performance
|
| 505 |
0 |
0 |
|g Chapter 11
|t Improving Model Performance
|
| 505 |
0 |
0 |
|g Chapter 12
|t Specialized Machine Learning Topics
|
| 650 |
1 |
7 |
|2 spines
|a INTELIGENCIA ARTIFICIAL
|
| 653 |
1 |
0 |
|a APRENDIZAJE AUTOMATICO
|
| 653 |
1 |
0 |
|a MODELOS PREDICTIVOS
|
| 653 |
1 |
0 |
|a R (LENGUAJE DE PROGRAMACION)
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| 962 |
|
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|a info:eu-repo/semantics/book
|b info:eu-repo/semantics/publishedVersion
|
| 999 |
|
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|c 89692
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