Cargando…
R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2019
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2667910 |
| _version_ | 1780962121786327040 |
|---|---|
| author | Chinnamgari, Sunil Kumar |
| author_facet | Chinnamgari, Sunil Kumar |
| author_sort | Chinnamgari, Sunil Kumar |
| collection | CERN |
| description | The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches. |
| id | cern-2667910 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | Packt Publishing |
| record_format | invenio |
| spelling | cern-26679102021-04-21T18:27:14Zhttp://cds.cern.ch/record/2667910engChinnamgari, Sunil KumarR machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5XXThe purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.Packt Publishingoai:cds.cern.ch:26679102019 |
| spellingShingle | XX Chinnamgari, Sunil Kumar R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title | R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title_full | R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title_fullStr | R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title_full_unstemmed | R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title_short | R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 |
| title_sort | r machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using r 3.5 |
| topic | XX |
| url | http://cds.cern.ch/record/2667910 |
| work_keys_str_mv | AT chinnamgarisunilkumar rmachinelearningprojectsimplementsupervisedunsupervisedandreinforcementlearningtechniquesusingr35 |