Machine learning With Go

Machine learning With Go

Enregistré dans:

Détails bibliographiques
Auteur principal:	Whitenack, Daniel. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

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

Machine Learning with Go Quick Start Guide : Hands-on techniques for building supervised and unsupervised machine learning workﬂows
par: Bironneau, Michael.
Publié: (2019)

Learning Go programming
par: Vivien, Vladimir.
Publié: (2016)

Learning functional programming in Go
par: Sheehan, Lex.
Publié: (2017)

Hands-On Deep Learning with Go : A practical guide to building and implementing neural network models using Go
par: Seneque, Gareth.
Publié: (2019)

Learning Go Programming : Build ScalableNext-Gen Web Application using Golang
par: Agarwal, Shubhangi.

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

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

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

Machine learning : the new AI
par: Alpaydin, Ethem.
Publié: (2016)

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

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Machine Learning in Microservices : Productionizing microservices architecture for machine learning solutions
par: Abouahmed, Mohamed.

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

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

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

Machine learning with Spark
par: Dua, Rajdeep.
Publié: (2017)

Statistics for machine learning
par: Dangeti, Pratap.
Publié: (2017)

MATLAB for machine learning
par: Ciaburro, Giuseppe (19..-....).
Publié: (2017)

Scala for machine learning
par: Nicolas, Patrick R..
Publié: (2017)

Practical Machine Learning
par: Gollapudi, Sunila.
Publié: (2016)

Machine learning for the Web
par: Isoni, Andrea.
Publié: (2016)

Optimization for machine learning
par: Sra, Suvrit (1976-....).
Publié: (2011)

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

Machine Learning for Finance : Beginner's guide to explore machine learning in banking and finance
par: Singla, Saurav.

Machine Learning : Master Supervised and Unsupervised Learning Algorithms with Real Examples
par: Doshi, Ruchi.

Beginning with Machine Learning : The Ultimate Introduction to Machine Learning, Deep Learning, Scikit-learn, and TensorFlow (English Edition)
par: Dua, Amit.

Machine Learning : Hands-On for Developers and Technical Professionals
par: Bell, Jason.

Machine learning : a bayesian and optimization perspective
par: Theodoridis, Sergios.
Publié: (2015)

Mastering Go : Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures
par: Tsoukalos, Mihalis.
Publié: (2019)

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

Machine Learning in Production : Master the art of delivering robust Machine Learning solutions with MLOps
par: Pote, Suhas.

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

Machine learning fundamentals : use Python and scikit-learn to get up and running with the hottest developments in machine learning
par: Saleh, Hyatt.
Publié: (2018)

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python
par: Raschka, Sebastian.
Publié: (2022)

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

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

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

The machine learning workshop : get ready to develop your own high-performance machine learning algorithms with scikit-learn
par: Saleh, Hyatt.
Publié: (2020)

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

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