Applied Supervised Learning with R : Use machine learning libraries of R to build models that solve business problems and predict future trends
Enregistré dans:
主要作者: | Ramasubramanian, Karthik. (Auteur) |
---|---|
其他作者: | Moolayil, Jojo. (Auteur) |
格式: | E-Book |
语言: | Anglais |
出版: |
Birmingham :
Packt Publishing,
2019.
|
Autres localisations: | Voir dans le Sudoc |
在线阅读: | Accès à l'E-book |
相似书籍
-
Applied Supervised Learning with Python : Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
由: Johnston, Benjamin.
出版: 2019 -
Hands-on Supervised Learning with Python : Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
由: Shang, Madeleine. -
Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
由: Koduvely, Hari M..
出版: 2015 -
Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning
由: Smith, Taylor.
出版: 2019 -
Machine learning with R cookbook : analyze data and build predictive models
由: Bhatia, AshishSingh.
出版: 2017