Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud
Unleash the power of effortless AI mastery with Machine Learning with AutoML and Vertex AI, your dynamic gateway to crafting sophisticated no-code ML models on Google Cloud that propel you from novice curiosity to professional prowess! Ideal for aspiring innovators or seasoned tech enthusiasts seeking streamlined efficiency, this immersive guide thrusts you into hands-on adventures where you'll build predictive systems without writing a single line of complex code. Picture uploading your datasets to the cloud, letting AutoML intelligently optimize algorithms for tabular forecasts, image classifications, text insights, or video analyses—all while Vertex AI seamlessly orchestrates data prep, training, deployment, and monitoring in one unified hub.
Launch with GCP essentials: navigate the console, manage budgets with free credits, and spin up your first workbench instance. Dive into data wizardry with Cloud Storage and BigQuery for cleaning and labeling, then conquer AutoML across domains—predict sales trends from spreadsheets, detect objects in photos, extract sentiments from reviews, or recognize actions in clips through guided labs that spark immediate results. Elevate to custom tweaks with TensorFlow or PyTorch, deploy models for real-time predictions, and automate workflows with pipelines that scale to enterprise demands. Infused with ethical AI strategies, MLOps for reliability, troubleshooting tips, and a capstone project blending multiple models for e-commerce recommendations, this book equips you with a portfolio-ready arsenal to tackle real-world challenges in retail, healthcare, finance, and beyond.
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Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud
Unleash the power of effortless AI mastery with Machine Learning with AutoML and Vertex AI, your dynamic gateway to crafting sophisticated no-code ML models on Google Cloud that propel you from novice curiosity to professional prowess! Ideal for aspiring innovators or seasoned tech enthusiasts seeking streamlined efficiency, this immersive guide thrusts you into hands-on adventures where you'll build predictive systems without writing a single line of complex code. Picture uploading your datasets to the cloud, letting AutoML intelligently optimize algorithms for tabular forecasts, image classifications, text insights, or video analyses—all while Vertex AI seamlessly orchestrates data prep, training, deployment, and monitoring in one unified hub.
Launch with GCP essentials: navigate the console, manage budgets with free credits, and spin up your first workbench instance. Dive into data wizardry with Cloud Storage and BigQuery for cleaning and labeling, then conquer AutoML across domains—predict sales trends from spreadsheets, detect objects in photos, extract sentiments from reviews, or recognize actions in clips through guided labs that spark immediate results. Elevate to custom tweaks with TensorFlow or PyTorch, deploy models for real-time predictions, and automate workflows with pipelines that scale to enterprise demands. Infused with ethical AI strategies, MLOps for reliability, troubleshooting tips, and a capstone project blending multiple models for e-commerce recommendations, this book equips you with a portfolio-ready arsenal to tackle real-world challenges in retail, healthcare, finance, and beyond.
15.11 In Stock
Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud

Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud

by Taryn Elridge
Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud

Machine Learning with AutoML and Vertex AI: Build and Deploy No-Code ML Models on Google Cloud

by Taryn Elridge

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$15.11 
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Overview

Unleash the power of effortless AI mastery with Machine Learning with AutoML and Vertex AI, your dynamic gateway to crafting sophisticated no-code ML models on Google Cloud that propel you from novice curiosity to professional prowess! Ideal for aspiring innovators or seasoned tech enthusiasts seeking streamlined efficiency, this immersive guide thrusts you into hands-on adventures where you'll build predictive systems without writing a single line of complex code. Picture uploading your datasets to the cloud, letting AutoML intelligently optimize algorithms for tabular forecasts, image classifications, text insights, or video analyses—all while Vertex AI seamlessly orchestrates data prep, training, deployment, and monitoring in one unified hub.
Launch with GCP essentials: navigate the console, manage budgets with free credits, and spin up your first workbench instance. Dive into data wizardry with Cloud Storage and BigQuery for cleaning and labeling, then conquer AutoML across domains—predict sales trends from spreadsheets, detect objects in photos, extract sentiments from reviews, or recognize actions in clips through guided labs that spark immediate results. Elevate to custom tweaks with TensorFlow or PyTorch, deploy models for real-time predictions, and automate workflows with pipelines that scale to enterprise demands. Infused with ethical AI strategies, MLOps for reliability, troubleshooting tips, and a capstone project blending multiple models for e-commerce recommendations, this book equips you with a portfolio-ready arsenal to tackle real-world challenges in retail, healthcare, finance, and beyond.

Product Details

ISBN-13: 9788469559505
Publisher: Kirstin Hahn
Publication date: 10/17/2025
Pages: 246
Product dimensions: 6.00(w) x 9.00(h) x 0.52(d)

About the Author

Taryn Elridge is a trailblazing AI mentor and creator, committed to democratizing sophisticated tech for diverse audiences. Holding expertise in computer science and extensive practice in machine learning, she penned Artificial Intelligence A-Z 2025 to inspire novices and professionals through actionable explorations in generative AI, agentic frameworks, and reinforcement learning. Her contributions motivate emerging AI enthusiasts to develop impactful, intelligent systems addressing everyday hurdles.
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