Mastering machine learning with Spark 2.x

Mastering machine learning with Spark 2.x

Enregistré dans:

Détails bibliographiques
Auteur principal:	Tellez, Alex. (Auteur)
Autres auteurs:	Pumperla, Max. (Auteur), Malohlava, Michal.
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

Apache Spark 2.x machine learning cookbook
par: Amirghodsi, Siamak.
Publié: (2017)

Apache Spark machine learning blueprints
par: Liu, Alex.
Publié: (2016)

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

Mastering Apache Spark 2.x : scalable analytics faster than ever
par: Kienzler, Romeo.
Publié: (2017)

Machine learning with Spark and Python : essential techniques for predictive analytics
par: Bowles, Michael (19..-....).

Mastering Scala machine learning
par: Kozlov, Alex.
Publié: (2016)

Practical Machine Learning with Spark : Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML
par: Gupta, Gourav.

Apache Spark 2.x cookbook
par: Yadav, Rishi.
Publié: (2017)

Learning Apache Spark 2
par: Abbasi, Muhammad Asif.
Publié: (2017)

Apache Spark 2 : master complex big data processing, stream analytics, and machine learning with Apache Spark
Publié: (2018)

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

Apache Spark 2.x for Java developers
par: Gulati, Sourav.
Publié: (2017)

Learning PySpark
par: Drabas, Tomasz.
Publié: (2017)

Learning Spark SQL
par: Sarkar, Aurobindo.
Publié: (2017)

Mastering Spark for data science
par: Morgan, Andrew.
Publié: (2017)

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

Mastering machine learning with R
par: Lesmeister, Cory.
Publié: (2017)

Mastering Machine Learning with R
par: Lesmeister, Cory.
Publié: (2015)

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

Machine learning with Apache Spark quick start guide : uncover patterns, derive actionable insights, and learn from big data using MLlib
par: Quddus, Jillur.
Publié: (2018)

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications
par: Dixon, Jamie.
Publié: (2016)

Mastering Azure Machine Learning : Execute large-scale end-to-end machine learning with Azure
par: Körner, Christoph.
Publié: (2022)

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

Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models
par: Bonaccorso, Giuseppe.
Publié: (2018)

Machine learning with TensorFlow 1.x
par: Hua, Quan.
Publié: (2017)

Hands-on deep learning with Apache Spark : build and deploy distributed deep learning applications on Apache Spark
par: Iozzia, Guglielmo.
Publié: (2019)

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

Mastering Azure Machine Learning : Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML
par: Körner, Christoph.
Publié: (2020)

Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work
par: Bonaccorso, Giuseppe.
Publié: (2020)

Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
par: Sherif, Ahmed.
Publié: (2018)

Mastering MongoDB 4.x : get up and running with training and deploying intelligent, self-learning agents using Python
par: Giamas, Alex.
Publié: (2019)

Mastering machine learning for penetration testing : develop an extensive skill set to break self-learning systems using Pytho
par: Chebbi, Chiheb.
Publié: (2018)

Mastering Computer Vision with TensorFlow 2.x : Build advanced computer vision applications using machine learning and deep learning techniques
par: Kar, Krishnendu.
Publié: (2020)

Mastering Matplotlib 2.x : effective data visualization techniques with Python
par: Keller, Benjamin Walter.
Publié: (2018)

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

Fast data processing with Spark 2
par: Sankar, Krishna.
Publié: (2016)

Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
par: Fandango, Armando.
Publié: (2018)

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

Mastering MongoDB 3.x : an expert's guide to building fault-tolerant MongoDB applications
par: Giamas, Alex.
Publié: (2017)

Spark Cookbook
par: Yadav, Rishi.
Publié: (2015)

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