Cargando…

Hands-on machine learning with R

Detalles Bibliográficos
Autores principales:	Boehmke, Brad, Greenwell, Brandon M
Lenguaje:	eng
Publicado:	CRC Press 2019
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2707632

Ejemplares similares

Pro machine learning algorithms: a hands-on approach to implementing algorithms in Python and R
por: Ayyadevara, V Kishore
Publicado: (2018)

Machine learning : hands-on for developers and technical professionals
por: Bell, Jason
Publicado: (2015)

Hands-on ensemble learning with R: a beginner's guide to combining the power of machine learning algorithms using ensemble techniques
por: Tattar, Prabhanjan
Publicado: (2018)

Hands-on machine learning with Azure: build powerful models with cognitive machine learning and artificial intelligence
por: Abraham, Thomas K, et al.
Publicado: (2018)

Machine learning with R
por: Lantz, Brett
Publicado: (2015)

Machine learning with R
por: Lantz, Brett
Publicado: (2013)

Hands-on machine learning with JavaScript: solve complex computational web problems using machine learning
por: Kanber, Burak
Publicado: (2018)

Machine learning with Go quick start guide: hands-on techniques for building supervised and unsupervised machine learning workflows
por: Bironneau, Michael, et al.
Publicado: (2019)

Hands-on machine learning with C#: build smart, speedy, and reliable data-intensive applications using machine learning
por: Cole, Matt R
Publicado: (2018)

Machine learning using R
por: Ramasubramanian, Karthik, et al.
Publicado: (2016)

Hands-on machine learning with IBM Watson: leverage IBM Watson to implement machine learning techniques and algorithms using Python
por: Miller, James D
Publicado: (2019)

Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
por: Kane, Frank
Publicado: (2017)

Hands-on automated machine learning: a beginner's guide to building automated machine learning systems using AutoML and Python
por: Das, Sibanjan, et al.
Publicado: (2018)

Mastering machine learning with R: advanced machine learning techniques for building smart applications with R 3.5
por: Lesmeister, Cory
Publicado: (2019)

Practical big data analytics: hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
por: Dasgupta, Nataraj
Publicado: (2018)

Hands-on machine learning for cybersecurity: safeguard your system by making your machines intelligent using the Python ecosystem
por: Halder, Soma, et al.
Publicado: (2018)

Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems
por: Géron, Aurélien
Publicado: (2017)

Deep learning by example: a hands-on guide to implementing advanced machine learning algorithms and neural networks
por: Menshawy, Ahmed
Publicado: (2018)

Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
por: Bonaccorso, Giuseppe
Publicado: (2019)

Advanced machine learning with R: tackle data analytics and machine learning challenges and build complex applications with R 3.5
por: Lesmeister, Cory, et al.
Publicado: (2019)

Hands-on artificial intelligence for IoT: expert machine learning and deep learning techniques for developing smarter IoT systems
por: Kapoor, Amita
Publicado: (2019)

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems
por: Géron, Aurélien
Publicado: (2019)

Hands-on programming with R
por: Grolemund, Garrrett
Publicado: (2014)

R: recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning
por: Viswanathan, Viswa
Publicado: (2016)

Practical machine learning with R: define, build, and evaluate machine learning models for real-world applications
por: Jeyaraman, Brindha Priyadarshini, et al.
Publicado: (2019)

Mastering machine learning with R: advanced prediction, algorithms, and learning methods with R 3.x
por: Lesmeister, Cory
Publicado: (2017)

Machine learning using R: with time series and industry-based uses in R
por: Ramasubramanian, Karthik, et al.
Publicado: (2019)

Machine learning with R quick start guide: a beginner's guide to implementing machine learning techniques from scratch using R 3.5
por: Pastor Sanz, Iván
Publicado: (2019)

Hands-on artificial intelligence with Java for beginners: build intelligent apps using machine learning and deep learning with Deeplearning4j
por: Joshi, Nisheeth
Publicado: (2018)

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
por: Bali, Raghav, et al.
Publicado: (2016)

Hands-on Java deep learning for computer vision: implement machine learning and neural network methodologies to perform computer vision-related tasks
por: Ramo, Klevis
Publicado: (2019)

Hands-on machine learning on Google cloud platform: implementing smart and efficient analytics using Cloud ML Engine
por: Ciaburro, Giuseppe, et al.
Publicado: (2018)

R: unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules
por: Bali, Raghav, et al.
Publicado: (2016)

Machine learning with R cookbook: analyze data and build predictive models
por: Bhatia, AshishSingh, et al.
Publicado: (2017)

Mastering predictive analytics with R: machine learning techniques for advanced models
por: Miller, James D, et al.
Publicado: (2017)

Hands-on machine learning with Microsoft Excel 2019: build complete data analysis flows, from data collection to visualization
por: Martino, Julio Cesar Rodriguez
Publicado: (2019)

Effective Amazon machine learning: machine learning in the Cloud
por: Perrier, Alexis
Publicado: (2017)

Applied supervised learning with R: use machine learning libraries of R to build models that solve business problems and predict future trends
por: Ramasubramanian, Karthik, et al.
Publicado: (2019)

Advanced R statistical programming and data models: analysis, machine learning, and visualization
por: Wiley, Matt, et al.
Publicado: (2019)

Data science in the cloud with Microsoft Azure machine learning and R: 2015 update
por: Elston, Stephen F
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_5si49n2hd0utlhtj7qo5c8dfta