Google Machine Learning and Generative AI for Solutions Architects
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Google Machine Learning and Generative AI for Solutions Architects
?Build efficient and scalable AI/ML solutions on Google Cloud
Kavanagh, Kieran, O.C.D.
Packt Publishing Limited
06/2024
Mole
Inglês
9781803245270
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
AI/ML Concepts, Real-world Applications, and Challenges
Understanding the ML model development lifecycle
AI/ML tooling and the Google Cloud AI/ML landscape
Utilizing Google Cloud's high-level AI services
Building custom ML models on Google Cloud
Diving deeper: preparing and processing data for AI/ML workloads on Google Cloud
Feature engineering and dimensionality reduction
Hyperparameters and optimization
Neural Networks and Deep Learning
ML Governance and the Google Cloud Architecture Framework
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced use-cases and technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI concepts and use cases
Bringing it all together: Building ML Solutions with GCP and Vertex
AI/ML Concepts, Real-world Applications, and Challenges
Understanding the ML model development lifecycle
AI/ML tooling and the Google Cloud AI/ML landscape
Utilizing Google Cloud's high-level AI services
Building custom ML models on Google Cloud
Diving deeper: preparing and processing data for AI/ML workloads on Google Cloud
Feature engineering and dimensionality reduction
Hyperparameters and optimization
Neural Networks and Deep Learning
ML Governance and the Google Cloud Architecture Framework
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced use-cases and technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI concepts and use cases
Bringing it all together: Building ML Solutions with GCP and Vertex
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
AI/ML Concepts, Real-world Applications, and Challenges
Understanding the ML model development lifecycle
AI/ML tooling and the Google Cloud AI/ML landscape
Utilizing Google Cloud's high-level AI services
Building custom ML models on Google Cloud
Diving deeper: preparing and processing data for AI/ML workloads on Google Cloud
Feature engineering and dimensionality reduction
Hyperparameters and optimization
Neural Networks and Deep Learning
ML Governance and the Google Cloud Architecture Framework
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced use-cases and technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI concepts and use cases
Bringing it all together: Building ML Solutions with GCP and Vertex
AI/ML Concepts, Real-world Applications, and Challenges
Understanding the ML model development lifecycle
AI/ML tooling and the Google Cloud AI/ML landscape
Utilizing Google Cloud's high-level AI services
Building custom ML models on Google Cloud
Diving deeper: preparing and processing data for AI/ML workloads on Google Cloud
Feature engineering and dimensionality reduction
Hyperparameters and optimization
Neural Networks and Deep Learning
ML Governance and the Google Cloud Architecture Framework
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced use-cases and technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI concepts and use cases
Bringing it all together: Building ML Solutions with GCP and Vertex
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
