Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Lantz, Brett. (Yazar)
Materyal Türü:	E-Book
Dil:	Anglais
Baskı/Yayın Bilgisi:	Birmingham : Packt Publishing, 2013.
Konular:	Apprentissage automatique. Machine learning > Statistical methods. R (Computer program language).
Autres localisations:	Voir dans le Sudoc
Online Erişim:	Accès à l'E-book

Benzer Materyaller

Practical machine learning in R
Yazar:: Nwanganga, Fred (19..-....).

Python machine learning
Yazar:: Lee, Wei-Meng (19..-....).

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
Yazar:: Richert, Willi.
Baskı/Yayın Bilgisi: (2013)

F# for machine learning essentials : get up and running with machine learning with F# in a fun and functional way
Yazar:: Mukherjee, Sudipta.
Baskı/Yayın Bilgisi: (2016)

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
Yazar:: Bonnin, Rodolfo.
Baskı/Yayın Bilgisi: (2017)

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications
Yazar:: Dixon, Jamie.
Baskı/Yayın Bilgisi: (2016)

Machine learning : a bayesian and optimization perspective
Yazar:: Theodoridis, Sergios.
Baskı/Yayın Bilgisi: (2015)

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
Yazar:: Bonaccorso, Bonaccorso.
Baskı/Yayın Bilgisi: (2017)

Adversial robustness for machine learning
Yazar:: Chen, Pin-Yu (19..-).

Machine learning for planetary science
Yazar:: Helbert, Joern.
Baskı/Yayın Bilgisi: (2022)

R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
Yazar:: Bali, Raghav (19..-....).
Baskı/Yayın Bilgisi: (2016)

Doing bayesian data analysis : a tutorial introduction with R and BUGS
Yazar:: Kruschke, John K..

Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms
Yazar:: Stamile, Claudio (19..-....; chercheur en informatique).
Baskı/Yayın Bilgisi: (2021)

Optimization for machine learning
Yazar:: Sra, Suvrit (1976-....).
Baskı/Yayın Bilgisi: (2011)

Gaussian Processes for Machine Learning
Yazar:: Rasmussen, Carl Edward (1969-....).
Baskı/Yayın Bilgisi: (2005)

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
Yazar:: Withanawasam (Jayani).
Baskı/Yayın Bilgisi: (2015)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
Yazar:: Subramanian, Vishnu (19..-....).
Baskı/Yayın Bilgisi: (2018)

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
Yazar:: Koduvely, Hari M..
Baskı/Yayın Bilgisi: (2015)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
Yazar:: Raschka, Sebastian.
Baskı/Yayın Bilgisi: (2016)

Introduction to statistical machine learning
Yazar:: Sugiyama, Masashi.
Baskı/Yayın Bilgisi: (2015)

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets
Yazar:: Géron, Aurélien (19..-....).

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn
Yazar:: Hackeling, Gavin.
Baskı/Yayın Bilgisi: (2017)

Machine learning : theory and applications
Yazar:: Govindaraju, Venugopal (1964-....).
Baskı/Yayın Bilgisi: (2013)

Dataset Shift in Machine Learning
Yazar:: Joaquin, Quiñonero-Candela.

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks
Yazar:: Menshawy, Ahmed.
Baskı/Yayın Bilgisi: (2018)

Large-Scale Kernel Machines
Yazar:: Bottou, Léon (1965-....).

Apprentissage machine, clé de l'intelligence artificielle : une introduction pour non-spécialistes
Yazar:: Gilleron, Rémi.

Machine learning : expert techniques to tackle complex machine learning problems using Python
Yazar:: Thanaki, Jalaj.
Baskı/Yayın Bilgisi: (2018)

Introduction au machine learning
Yazar:: Azencott, Chloé-Agathe (19..-....).
Baskı/Yayın Bilgisi: (2022)

Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
Yazar:: Géron, Aurélien (19..-....).

Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems
Yazar:: Ozdemir, Sinan.
Baskı/Yayın Bilgisi: (2018)

Developmental robotics : from babies to robots
Yazar:: Cangelosi, Angelo (1967-....).

The Promise of Artificial Intelligence : Reckoning and Judgment
Yazar:: Smith, Brian Cantwell.
Baskı/Yayın Bilgisi: (2019)

Basic statistics with R : reaching decisions with data
Yazar:: Loftus, Stephen C. (19..-....; mathématicien).
Baskı/Yayın Bilgisi: (2021)

Deep learning
Yazar:: Kelleher, John D. (1974-....).
Baskı/Yayın Bilgisi: (2019)

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
Yazar:: Gulli, Antonio.
Baskı/Yayın Bilgisi: (2017)

An introduction to computational learning theory
Yazar:: Kearns, Michael J..
Baskı/Yayın Bilgisi: (1994)

Learning Rust : a comprehensive guide to writing Rust applications
Yazar:: Johnson, Paul (19..-....; informaticien).
Baskı/Yayın Bilgisi: (2017)

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Yazar:: Massaron, Luca (19..-....).
Baskı/Yayın Bilgisi: (2018)

Python multimedia beginner's guide : learn how to develop multimedia applications using Python with this practical step-by-step guide
Yazar:: Sathaye, Ninad.
Baskı/Yayın Bilgisi: (2010)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1