Loading…

Practical automated machine learning on Azure : using Azure machine learning to quickly build AI solutions /

Bibliographic Details
Call Number:	Libro Electrónico
Main Authors:	Mukunthu, Deepak (Author), Shah, Parashar (Author), Tok, Wee-Hyong (Author)
Format:	Electronic eBook
Language:	Inglés
Published:	Sebastopol, CA : O'Reilly Media, [2019]
Edition:	First edition.
Subjects:	Windows Azure. Windows Azure Machine learning. Artificial intelligence. Artificial Intelligence Machine Learning Apprentissage automatique. Intelligence artificielle. artificial intelligence. Artificial intelligence Machine learning
Online Access:	Texto completo (Requiere registro previo con correo institucional)

Similar Items

Hands-on machine learning with Azure : build powerful models with cognitive machine learning and artificial intelligence /
by: Abraham, Thomas K.
Published: (2018)

Azure ML studio : AutoML /
Published: (2023)

An introduction to machine learning interpretability : an applied perspective on fairness, accountability, transparency, and explainable AI /
by: Hall, Patrick, et al.
Published: (2019)

AI and Machine Learning for Coders
by: Moroney, Laurence
Published: (2020)

Understanding support vector machines /
by: Géron, Aurélien
Published: (2017)

AI and machine learning for coders : a programmer's guide to artificial intelligence /
by: Moroney, Laurence
Published: (2023)

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
by: Prosise, Jeff
Published: (2023)

Machine learning with TensorFlow 1.x : second generation machine learning with Google's brainchild - TensorFlow 1.x /
by: Hua, Quan, et al.
Published: (2017)

TensorFlow machine learning cookbook : explore machine learning concepts using the latest numerical computing library, TensorFlow, with the help of this comprehenisive cookbook /
by: McClure, Nick
Published: (2017)

Building machine learning projects with TensorFlow : engaging projects that will teach you how complex data can be exploited to gain the most insight /
by: Bonnin, Rodolfo
Published: (2016)

Turning data into insight with IBM Machine Learning for z/OS /
by: Buhler, Samantha
Published: (2018)

Neural networks and deep learning /
by: Géron, Aurélien
Published: (2018)

Advances in machine learning research /
Published: (2014)

Efficient learning machines : theories, concepts, and applications for engineers and system Designers /
by: Awad, Mariette, et al.
Published: (2015)

AI and machine learning /
by: Rahman, Was, 1965-
Published: (2020)

AI and machine learning /
by: Rahman, Was, 1965-
Published: (2020)

TensorFlow in action /
by: Ganegedara, Thushan
Published: (2022)

Machine learning fundamentals /
by: Saleh, Hyatt
Published: (2018)

Machine learning with TensorFlow /
by: Shukla, Nishant, 1992-
Published: (2018)

Machine learning and artificial intelligence : proceedings of MLIS 2020 /
Published: (2020)

Einführung in TensorFlow : Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen /
by: Hope, Tom (Data scientist), et al.
Published: (2018)

Ugokashite manabu AI, kikai gakushū no kiso : TensorFlow ni yoru konpyūta bijon, shizen gengo shori, jikeiretsu dēta no yosoku to depuroi /
by: Moroney, Laurence
Published: (2022)

Machine Learning with R, the tidyverse, and mlr /
by: Rhys, Hefin
Published: (2020)

TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python /
by: McClure, Nick
Published: (2018)

TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python /
by: McClure, Nick
Published: (2018)

An introduction to machine learning interpretability : an applied perspective on fairness, accountability, transparency, and explainable AI /
by: Hall, Patrick, et al.
Published: (2018)

Practical TensorFlow.js : deep learning in web app development /
by: Rivera, Juan De Dios Santos
Published: (2020)

Neural network programming with TensorFlow : unleash the power of TensorFlow to train efficient neural networks /
by: Ghotra, Manpreet Singh, et al.
Published: (2017)

Assimilate ONNX : portable models /
Published: (2023)

Sztuczna inteligencja i uczenie maszynowe dla programistów : praktyczny przewodnik po sztucznej inteligencji /
by: Moroney, Laurence
Published: (2021)

TensorFlow for dummies /
by: Scarpino, Matthew, 1975-
Published: (2018)

The future of machine intelligence : perspectives from leading practitioners /
by: Beyer, David
Published: (2016)

Online sentiment : machine learning and prediction /
Published: (2011)

ARTIFICIAL INTELLIGENCE BY EXAMPLE;ACQUIRE ADVANCED AI, MACHINE LEARNING, AND DEEP LEARNING DESIGN SKILLS.
by: Rothman, Denis
Published: (2020)

Practical machine learning in Javascript : tensorflow.js for web developers /
by: Gerard, Charlie
Published: (2021)

Practical machine learning in Javascript : tensorflow.js for web developers /
by: Gerard, Charlie
Published: (2021)

Artificial intelligence driven by machine learning and deep learning /
by: Zohuri, Bahman, et al.
Published: (2020)

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

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

Machine learning for high-risk applications : approaches to responsible AI /
by: Hall, Patrick, et al.
Published: (2023)

Cannot write session to /tmp/vufind_sessions/sess_15m89erplu4qug4la44m2inlqp