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Building Machine Learning and Deep Learning Models on Google Cloud Platform

User level: Beg-Int, don't use au middle name;...

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Hands-On Machine Learning on Google Cloud Platform

Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing;

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Kubeflow Operations Guide Managing Cloud and OnPremise Deployment

Deploy Kubeflow on Google Cloud Platform, AWS, and Azure Use KFServing to develop and deploy machine learning models;

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Official Google Cloud Certified Professional Data Engineer Study Guide

available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud;

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Automated Machine Learning

, Microsoft Azure Machine Learning, AWS, and Google Cloud Platform will find this book useful. Beginner-level knowledge of building ML models;

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Practical AI on the Google Cloud Platform Utilizing Google's StateoftheArt AI Cloud Services

grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a;

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TensorFlow 2 x in the Colaboratory Cloud

2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book;

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Deploy Machine Learning Models to Production

and run it on any platform using Docker Deploy machine learning and deep learning models using Flask and Streamlit frameworks Who This;

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Visualizing Google Cloud

new capabilities including artificial intelligence and machine learning, the Google Cloud Platform offers enterprises the opportunity to scale;

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State-of-the-Art Deep Learning Models in TensorFlow

ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn;

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines

Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud;

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Implementing Machine Learning with SAP S/4HANA

sales. With details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine;

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Hands-On Machine Learning with IBM Watson

science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement;

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Building Google Cloud Platform Solutions

applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs;

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Practical Java Machine Learning

Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Building Intelligent Cloud Applications Develop Scalable Models Using Serverless Architectures with Azure

Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing;

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R Deep Learning Essentials

computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a;

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Hands-On Deep Learning with Go

and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to;

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to;

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Official Google Cloud Certified Associate Cloud Engineer Study Guide

course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace;

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how;

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Google Cloud AI Services Quick Start Guide

of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter;

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Google Cloud Platform in Action

begin with the basics, learning how cloud services work, and the specifics of the Google Cloud Platform. The book includes hands-on step;

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Pro Machine Learning Algorithms

major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning;

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Deep Learning Illustrated

want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning;

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