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 :

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Xehetasun bibliografikoak
Egile nagusia:	Bugnion, Pascal. (Egilea)
Beste egile batzuk:	Nicolas, R.. (Auteur), Kozlov, Alex.
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

Mastering Scala machine learning
nork: Kozlov, Alex.
Argitaratua: (2016)

Scala for machine learning
nork: Nicolas, Patrick R..
Argitaratua: (2017)

Scala for data science
nork: Bugnion, Pascal.
Argitaratua: (2016)

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

Scala : guide for data science professionals
nork: Bugnion, Pascal.
Argitaratua: (2017)

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

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

Learning concurrent programming in Scala
nork: Prokopec, Aleksandar.
Argitaratua: (2017)

Learning Concurrent Programming in Scala
nork: Prokopec, Aleksandar.
Argitaratua: (2014)

Mastering play framework for Scala
nork: Saxena, Shiti.
Argitaratua: (2015)

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

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

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

Scala for Java developers
nork: Alexandre, Thomas.
Argitaratua: (2014)

Modern Scala projects
nork: Ilango, Gurusamy (19..-....).
Argitaratua: (2018)

Scientific computing with Scala
nork: Jancauskas, Vytautas.
Argitaratua: (2016)

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

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

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

Scala functional programming patterns
nork: Khot, Atul S..
Argitaratua: (2015)

Scala data analysis cookbook
nork: Manivannan, Arun.
Argitaratua: (2015)

Scala test-driven development
nork: Sood, Gaurav.
Argitaratua: (2016)

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

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

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

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

De ascensione mentis in Deum per scalas rerum creatarum opusculum Roberti cardinalis Bellarmini..
nork: 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
nork: Lantz, Brett.
Argitaratua: (2013)

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

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

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

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

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

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

Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions
nork: 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
nork: Richert, Willi.
Argitaratua: (2013)

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

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

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

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

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