Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5

Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5

Sparad:

Bibliografiska uppgifter
Huvudupphovsman:	Lesmeister, Cory. (Författare, medförfattare)
Övriga upphovsmän:	Chinnamgari, Sunil Kumar. (Auteur)
Materialtyp:	E-Book
Språk:	Anglais
Publicerad:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Länkar:	Accès à l'E-book

Liknande verk

Mastering machine learning with R : advanced machine learning techniques for building smart applications with R 3.5
av: Lesmeister, Cory.
Publicerad: (2019)

Mastering machine learning with R
av: Lesmeister, Cory.
Publicerad: (2017)

Mastering Machine Learning with R
av: Lesmeister, Cory.
Publicerad: (2015)

Machine learning : expert techniques to tackle complex machine learning problems using Python
av: Thanaki, Jalaj.
Publicerad: (2018)

R machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
av: Chinnamgari, Sunil Kumar.
Publicerad: (2019)

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
av: Bali, Raghav (19..-....).
Publicerad: (2016)

Advanced Machine Learning : Fundamentals and algorithms
av: Kumar Tyagi, Amit (19..-....).

Advanced machine learning with Python
av: Hearty, John.
Publicerad: (2016)

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
av: Lantz, Brett.

Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications
av: Jeyaraman, Brindha Priyadarshini.
Publicerad: (2019)

Machine Learning with R Quick Start Guide : A beginner's guide to implementing machine learning techniques from scratch using R 3.5
av: Pastor Sanz, Iván.
Publicerad: (2019)

Machine learning with R cookbook : analyze data and build predictive models
av: Bhatia, AshishSingh.
Publicerad: (2017)

Machine Learning for Imbalanced Data : Tackle imbalanced datasets using machine learning and deep learning techniques
av: Abhishek, Kumar.

SQL Server 2017 Machine Learning Services with R : Data exploration, modeling, and advanced analytics
av: Kastrun, Tomaz.
Publicerad: (2018)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
av: Lantz, Brett.
Publicerad: (2013)

R machine learning essentials
av: Usuelli, Michele.
Publicerad: (2014)

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

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
av: Bonnin, Rodolfo.
Publicerad: (2017)

Advanced Deep Learning with R : Become an expert at designing, building, and improving advanced neural network models using R
av: Rai, Bharatendra.
Publicerad: (2019)

Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
av: Narayanan, Vishwanathan.

Machine learning for Mobile : practical guide to building intelligent mobile applications powered by machine learning
av: Gopalakrishnan, Revathi.
Publicerad: (2018)

Machine learning algorithms : popular algorithms for data science and machine learning
av: Bonaccorso, Giuseppe.
Publicerad: (2018)

Simplified Machine Learning : The essential building blocks for Machine Learning expertise
av: Sharma, Pooja.

Machine learning : theory and applications
av: Govindaraju, Venugopal (1964-....).
Publicerad: (2013)

Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java
av: Bhatia, AshishSingh.
Publicerad: (2018)

The Statistics and Machine Learning with R Workshop : Unlock the power of efficient data science modeling with this hands-on guide
av: Peng, Liu.

Go machine learning projects : eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
av: Chew, Xuanyi.
Publicerad: (2018)

Machine learning with the Elastic Stack : expert techniques to integrate machine learning with distributed search and analytics
av: Collier, Rich.
Publicerad: (2019)

Machine learning
av: Mueller, John Paul (1958-....).

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
av: Bonaccorso, Bonaccorso.
Publicerad: (2017)

Python Machine Learning Projects : Learn how to build Machine Learning projects from scratch
av: Vora, Deepali R..

Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python
av: Sarkar, Dipayan.
Publicerad: (2019)

Mastering predictive analytics with R : machine learning techniques for advanced models
av: Miller, James D..
Publicerad: (2017)

Scala machine learning projects : build real-world machine learning and deep learning projects with Scala
av: Karim, Rezaul Md..
Publicerad: (2018)

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

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
av: Richert, Willi.
Publicerad: (2013)

Python 3 for Machine Learning
av: Campesato, Oswald.

Machine Learning for Data Mining : Improve your data mining capabilities with advanced predictive modeling
av: Salcedo, Jesus.
Publicerad: (2019)

Synthetic Data for Machine Learning : Revolutionize your approach to machine learning with this comprehensive conceptual guide
av: Kerim, Abdulrahman.

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn
av: Hackeling, Gavin.
Publicerad: (2017)

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