Scala : applied machine learning : leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features

Scala : applied machine learning :

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Bugnion, Pascal. (Auteur)
Drugi avtorji:	Nicolas, R.. (Auteur), Kozlov, Alex.
Format:	E-Book
Jezik:	Anglais
Izdano:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Online dostop:	Accès à l'E-book

Podobne knjige/članki

Mastering Scala machine learning
od: Kozlov, Alex.
Izdano: (2016)

Scala for machine learning
od: Nicolas, Patrick R..
Izdano: (2017)

Scala for data science
od: Bugnion, Pascal.
Izdano: (2016)

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

Scala : guide for data science professionals
od: Bugnion, Pascal.
Izdano: (2017)

Machine Learning with Scala Quick Start Guide : Leverage popular machine learning algorithms and techniques and implement them in Scala
od: Karim, Rezaul Md..
Izdano: (2019)

Scala design patterns : design modular, clean, and scalable applications by applying proven design patterns in Scala
od: Nikolov, Ivan.
Izdano: (2018)

Learning concurrent programming in Scala
od: Prokopec, Aleksandar.
Izdano: (2017)

Learning Concurrent Programming in Scala
od: Prokopec, Aleksandar.
Izdano: (2014)

Mastering play framework for Scala
od: Saxena, Shiti.
Izdano: (2015)

Scala programming projects : build real world projects using popular Scala frameworks like Play, Akka, and Spark
od: Valot, Mikaël.
Izdano: (2018)

Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
od: Tome, Eric.

Learn Scala programming : a comprehensive guide covering functional and reactive programming with Scala 2.13, Akka, and Lagom
od: Schmidt, Slava.
Izdano: (2018)

Scala for Java developers
od: Alexandre, Thomas.
Izdano: (2014)

Modern Scala projects
od: Ilango, Gurusamy (19..-....).
Izdano: (2018)

Scientific computing with Scala
od: Jancauskas, Vytautas.
Izdano: (2016)

Learning scala programming : object-oriented programming meets functional reactive to create scalable and concurrent programs
od: Sharma, Vikash (19..-....).
Izdano: (2018)

Scala reactive programming : build scalable, functional reactive microservices with Akka, Play, and Lagom
od: Posa, Rambabu.
Izdano: (2018)

Hands-On Data Analysis with Scala : Perform data collection, processing, manipulation, and visualization with Scala
od: Gupta, Rajesh K..
Izdano: (2019)

Scala functional programming patterns
od: Khot, Atul S..
Izdano: (2015)

Scala data analysis cookbook
od: Manivannan, Arun.
Izdano: (2015)

Scala test-driven development
od: Sood, Gaurav.
Izdano: (2016)

Professional Scala : combine object-oriented and functional programming to build high-performance applications
od: Hartmann, Mads.
Izdano: (2018)

Scala and Spark for big data analytics
od: Karim, Rezaul Md..
Izdano: (2017)

De ascensione mentis in Deum per Scalas rerum Creatarum Opusculum.
od: Robert Bellarmin, saint, 1542-1621.
Izdano: (1615)

De ascensione mentis in Deum per scalas rerum creatarum opusculum.
od: Robert Bellarmin, saint, 1542-1621.
Izdano: (1634)

De ascensione mentis in Deum per scalas rerum creatarum opusculum Roberti cardinalis Bellarmini..
od: Robert Bellarmin, saint, 1542-1621.

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

Mastering functional programming : functional techniques for sequential and parallel programming with Scala
od: Kmetiuk, Anatolii.
Izdano: (2018)

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

Le Théâtre de la Scala : l'histoire - le public - les chefs - les grandes voix - les surintendants - les productions historiques - discographie - vidéographie.
Izdano: (2014)

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
od: Ramsay, Allan.

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

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
od: Raschka, Sebastian.
Izdano: (2016)

Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions
od: Majumdar, Partha.

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
od: Richert, Willi.
Izdano: (2013)

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

Mastering Machine Learning on AWS : advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
od: Mengle, Saket S.r..
Izdano: (2019)

Artificial intelligence and machine learning fundamentals : develop real-world applications powered by the latest AI advances
od: Nagy, Zsolt.
Izdano: (2018)

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

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