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Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil
| Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil |
| Autore | Ramasubramanian Karthik |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2019 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
R (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-83855-716-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910494595803321 |
Ramasubramanian Karthik
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| Birmingham, England : , : Packt Publishing, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil
| Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil |
| Autore | Ramasubramanian Karthik |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2019 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
R (Computer program language) |
| ISBN | 1-83855-716-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793666603321 |
|
Ramasubramanian Karthik
|
||
| Birmingham, England : , : Packt Publishing, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil
| Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends. / / Karthik Ramasubramanian and Jojo Moolayil |
| Autore | Ramasubramanian Karthik |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2019 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
R (Computer program language) |
| ISBN | 1-83855-716-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910824242803321 |
|
Ramasubramanian Karthik
|
||
| Birmingham, England : , : Packt Publishing, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning Using R [[electronic resource] ] : With Time Series and Industry-Based Use Cases in R / / by Karthik Ramasubramanian, Abhishek Singh
| Machine Learning Using R [[electronic resource] ] : With Time Series and Industry-Based Use Cases in R / / by Karthik Ramasubramanian, Abhishek Singh |
| Autore | Ramasubramanian Karthik |
| Edizione | [2nd ed. 2019.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 |
| Descrizione fisica | 1 online resource (712 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Artificial intelligence
Open source software Computer programming Programming languages (Electronic computers) R (Computer program language) Artificial Intelligence Open Source Programming Languages, Compilers, Interpreters |
| ISBN |
1-5231-5040-8
1-4842-4215-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Machine Learning -- Chapter 2: Data Exploration and Preparation -- Chapter 3: Sampling and Resampling Techniques -- Chapter 4: Visualization of Data -- Chapter 5: Feature Engineering -- Chapter 6: Machine Learning Models: Theory and Practice -- Chapter 7: Machine Learning Model Evaluation -- Chapter 8: Model Performance Improvement -- Chapter 9: Time Series Modelling -- Chapter 10: Scalable Machine Learning and related technology -- Chapter 11: Introduction to Deep Learning Models using Keras and TensorFlow. |
| Record Nr. | UNINA-9910338013903321 |
|
Ramasubramanian Karthik
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning Using R [[electronic resource] /] / by Karthik Ramasubramanian, Abhishek Singh
| Machine Learning Using R [[electronic resource] /] / by Karthik Ramasubramanian, Abhishek Singh |
| Autore | Ramasubramanian Karthik |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XXIII, 566 p. 209 illus., 155 illus. in color.) |
| Disciplina | 006 |
| Soggetto topico |
Artificial intelligence
Computer programming Programming languages (Electronic computers) Database management R (Computer language program) Artificial Intelligence Programming Techniques Programming Languages, Compilers, Interpreters Database Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Machine Learning and R -- Chapter 2: Data Preparation and Exploration -- Chapter 3: Sampling and Resampling Techniques -- Chapter 4: Visualization of Data -- Chapter 5: Feature Engineering -- Chapter 6: Machine Learning Models: Theory and Practice -- Chapter 7: Machine Learning Model Evaluation.-Chapter 8: Model Performance Improvement -- Chapter 9: Scalable Machine Learning and related technology.-. |
| Record Nr. | UNINA-9910156188103321 |
|
Ramasubramanian Karthik
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||