Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java

Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java

Enregistré dans:

Détails bibliographiques
Auteur principal:	Bhatia, AshishSingh. (Auteur)
Autres auteurs:	Kaluža, Boštjan. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Machine Learning in Java / Ashishsingh Bhatia, Bostjan Kaluza

Documents similaires

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

Mastering Java machine learning
par: Kamath, Dr. Uday.
Publié: (2017)

Hands-on machine learning with JavaScript : solve complex computational web problems using machine learning
par: Kanber, Burak (19..-....; ingénieur).
Publié: (2018)

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

Statistics for Machine Learning : Implement Statistical methods used in Machine Learning using Python
par: Singh, Himanshu.

Machine learning : end-to-end guide for Java developers
par: Reese, Richard M..
Publié: (2017)

Learning Modular Java programming : explore the power of modular programming for building applications with Java and Spring!
par: Mandar Jog, Tejaswini.
Publié: (2016)

Machine Learning for Beginners : Build and deploy Machine Learning systems using Python (English Edition) Ed. 2
par: Bhasin, Harsh (19..-....; informaticien).

Machine Learning Automation with TPOT : Build, validate, and deploy fully automated machine learning models with Python
par: Radecic, Dario.

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

Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production
par: Nag, Avishek.

Hands-on machine learning with Azure : build powerful models with cognitive machine learning and artificial intelligence
Publié: (2018)

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

Machine Learning for Beginners : Learn to Build Machine Learning Systems Using Python
par: Bhasin, Harsh, 19..-...., informaticien.
Publié: (2020)

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
par: Vijayvargia, Abhishek.

Machine learning : theory and applications
par: Govindaraju, Venugopal (1964-....).
Publié: (2013)

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

Machine Learning in Biotechnology and Life Sciences : Build machine learning models using Python and deploy them on the cloud
par: Alkhalifa, Saleh.
Publié: (2022)

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

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2015)

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

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

Learning RxJava : build concurrent, maintainable, and responsive Java in less time
par: Nield, Thomas.
Publié: (2017)

Build, train, and deploy end-to-end machine learning and deep learning pipelines
par: Kolodiazhnyi, Kirill.
Publié: (2020)

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

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
par: Coelho, Luis Pedro.
Publié: (2018)

Learning RxJava : build concurrent applications using reactive programming with the latest features of RxJava 3
par: Samoylov, Nick (19..-....).
Publié: (2020)

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
par: Lantz, Brett.

Learning Java by Building Android Games.
par: Horton, John (19..-....; informaticien).
Publié: (2015)

Learning Java Lambdas
par: Weston, Toby.
Publié: (2017)

TensorFlow Machine Learning Cookbook : Over 60 recipes to build intelligent machine learning systems with the power of Python
par: Mcclure, Nick.
Publié: (2018)

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

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

Learning Java by Building Android Games : Learn Java and Android from scratch by building five exciting games
par: Horton, John (19..-....; informaticien).
Publié: (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
par: Richert, Willi.
Publié: (2013)

Machine Learning at Scale with H2O : A practical guide to building and deploying machine learning models on enterprise systems
par: Keys, Gregory.
Publié: (2022)

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

Natural language processing with Java : techniques for building machine learning and neural network models for NLP
par: Reese, Richard M..
Publié: (2018)

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

Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps
par: Pandey, Vishwajyoti.
Publié: (2022)

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