Hands-on machine learning on Google cloud platform : implementing smart and efficient analytics using Cloud ML Engine

Hands-on machine learning on Google cloud platform : implementing smart and efficient analytics using Cloud ML Engine

Enregistré dans:

Détails bibliographiques
Auteur principal:	Ciaburro, Giuseppe (19..-....). (Auteur)
Autres auteurs:	Kishore Ayyadevara, V.. (Auteur), Perrier, Alexis.
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Cloud analytics with Google Cloud platform : an end-to-end guide to processing and analyzing big data using Google Cloud Platform
par: Thodge, Sanket.
Publié: (2018)

Google cloud platform cookbook : implement, deploy, maintain, and migrate applications on Google Cloud Platform
par: Ps, Legorie Rajan.
Publié: (2018)

Google cloud platform for developers : build highly scalable cloud solutions with the power of Google Cloud Platform
par: Hunter, Ted.
Publié: (2018)

Journey to Become a Google Cloud Machine Learning Engineer : Build the mind and hand of a Google Certified ML professional
par: Song, Logan.

Cloud Native Apps on Google Cloud Platform : Use Serverless, Microservices and Containers to Rapidly Build and Deploy Apps on Google Cloud
par: Gilchrist, Alasdair.
Publié: (2022)

Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
par: Wijaya, Adi.

Google cloud platform for architects : design and manage powerful cloud solutions
par: Srinivasan, Vitthal.
Publié: (2018)

Build Real Time Data Analytics on Google Cloud Platform : Build Real Time Data Analytics on Google Cloud Platform
par: Murari Ramuka.

Google cloud platform administration : design highly available, scalable, and secure cloud solutions on GCP
par: Singh Thakurratan, Ranjit.
Publié: (2018)

Hands-On Serverless Computing with Google Cloud : Build, deploy, and containerize apps using Cloud Functions, Cloud Run, and cloud-native technologies
par: Rose, Richard.
Publié: (2020)

Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
par: Ciaburro, Giuseppe (19..-....).
Publié: (2019)

Google Cloud Platform All-In-One Guide : Get Familiar with a Portfolio of Cloud-based Services in GCP
par: Kukreti, Praveen.

Scaling Google Cloud Platform : Run Workloads Across Compute, Serverless PaaS, Database, Distributed Computing, and SRE (English Edition)
par: Dubey, Swapnil.
Publié: (2022)

Google Cloud Associate Cloud Engineer Certification and Implementation Guide : Master the deployment, management, and monitoring of Google Cloud solutions
par: Koziorowska, Agnieszka.

Google Machine Learning and Generative AI for Solutions Architects : ?Build efficient and scalable AIML solutions on Google Cloud
par: Kavanagh, Kieran.

Terraform for Google Cloud Essential Guide : Learn how to provision infrastructure in Google Cloud securely and efficiently
par: Nordhausen, Bernd.

Building Google cloud platform solutions : develop scalable applications from scratch and make them globally available in almost any language
par: Hunter, Ted.
Publié: (2019)

Learning Google Cloud Vertex AI : Build, deploy, and manage machine learning models with Vertex AI
par: Kumar K, Hemanth.

Hands-On Machine Learning with ML.NET : Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
par: Capellman, Jarred.
Publié: (2020)

Google Cloud Certified Professional Cloud Network Engineer Guide : Design, implement, manage, and secure a network architecture in Google Cloud
par: Ipsale, Maurizio.
Publié: (2022)

Up and Running Google AutoML and AI Platform : Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment
par: Agrawal, Amit.

Secure Continuous Delivery on Google Cloud : Implement an automated and secure software delivery pipeline on Google Cloud using native services
par: Galloro, Giovanni.

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

Hands-on automated machine learning : a beginner's guide to building automated machine learning systems using AutoML and Python
par: Das, Sibanjan.
Publié: (2018)

Professional Cloud Architect Google Cloud Certification Guide : Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification
par: Clapa, Konrad.
Publié: (2021)

Architecting Google Cloud Solutions : learn to design robust and future-proof solutions with Google Cloud technologies
par: Dantas, Victor.
Publié: (2021)

Google Cloud for Developers : Write, migrate, and extend your code by leveraging Google Cloud
par: Martinez, Hector Parra.

Google Cloud for DevOps Engineers : A practical guide to SRE and achieving Google's Professional Cloud DevOps Engineer certification
par: Madamanchi, Sandeep.
Publié: (2021)

Cloud Native Automation with Google Cloud Build : Easily automate tasks in a fully managed, scalable, and secure platform
par: Bushong, Anthony.
Publié: (2022)

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
par: Bonaccorso, Giuseppe.
Publié: (2019)

Hands-On Machine Learning with IBM Watson : Leverage IBM Watson to Implement Machine Learning Techniques and Algorithms Using Python
par: Miller, James D..
Publié: (2019)

Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide : Become an expert and get Google Cloud certified with this practitioner's guide
par: Chowdhary, Ankush.

Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide : Become an expert and get Google Cloud certified with this practitioner's guide
par: Chowdhary, Ankush.

Learning SAP analytics cloud
par: Ahmed, Riaz.
Publié: (2017)

Cloud Native AI and Machine Learning on AWS : Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services
par: Rangarajan, Premkumar.

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
par: Kane, Frank.
Publié: (2017)

Database Design and Modeling with Google Cloud : Learn database design and development to take your data to applications, analytics, and AI
par: Sukumaran, Abirami.

Google Cloud Certified Professional Cloud Developer Exam Guide : Modernize your applications using cloud-native services and best practices
par: Moreno, Sebastian.
Publié: (2021)

Hands-on machine learning with JavaScript : solve complex computational web problems using machine learning
par: Kanber, Burak (19..-....; ingénieur).
Publié: (2018)

Machine Learning in the AWS Cloud : Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition
par: Mishra, Abhishek.

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