Google Cloud Platform For Machine Learning Essential Training

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Google Cloud Platform For Machine Learning Essential Training

Google Cloud Platform For Machine Learning Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.

Google Cloud Platform For Machine Learning Essential Training

Google Cloud Platform For Machine Learning Essential Training written by Lynn Langit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Google Cloud Platform Essential Training

Google Cloud Platform Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Explore the Google cloud. Learn how to leverage Google Cloud Platform services?including serverless computing, data storage, and machine learning?for your organization.

Google Cloud Platform Essential Training

Google Cloud Platform Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals-architects, network admins, and technology stakeholders-evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services-serverless computing, data storage, and machine learning-and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns.

Google Cloud Platform Essential Training For Administrators

Google Cloud Platform Essential Training For Administrators written by Lynn Langit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals-architects, network admins, and technology stakeholders-evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services-serverless computing, data storage, and machine learning-and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns.

Google Certification Guide Google Professional Machine Learning Engineer

Google Certification Guide Google Professional Machine Learning Engineer written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Google Certification Guide - Google Professional Machine Learning Engineer Unlock the World of Machine Learning on Google Cloud Embark on a transformative journey to become a Google Professional Machine Learning Engineer with this comprehensive guide. Designed for those who aspire to master the application of machine learning techniques and tools in the Google Cloud environment, this book is an essential resource for professionals seeking to harness the power of ML in their projects and workflows. What Awaits Inside: Advanced ML Concepts and Practices: Dive deep into the world of machine learning on Google Cloud, covering services like AI Platform, TensorFlow, and BigQuery ML. Real-World Applications: Learn through practical scenarios and hands-on examples, illustrating the effective implementation of machine learning models and solutions on Google Cloud. Strategic Exam Preparation: Gain crucial insights into the certification exam's structure and content, complemented by comprehensive practice questions and preparation strategies. Cutting-Edge ML Trends: Stay updated with the latest advancements in Google Cloud machine learning technologies, ensuring your skills remain relevant and innovative. Authored by a Machine Learning Expert Written by an experienced practitioner in the field of machine learning on Google Cloud, this guide bridges the gap between theoretical knowledge and practical application, offering a rich and comprehensive learning experience. Your Comprehensive Guide to ML Certification Whether you’re an experienced machine learning engineer or looking to elevate your expertise in Google Cloud's ML offerings, this book is a valuable companion, guiding you through the intricacies of machine learning in Google Cloud and preparing you for the Professional Machine Learning Engineer certification. Elevate Your Machine Learning Journey This guide is more than a pathway to certification; it's a deep dive into the practical and innovative aspects of machine learning in the Google Cloud environment, designed to equip you with the skills and knowledge for a thriving career in this dynamic field. Begin Your Machine Learning Adventure Start your journey to becoming a certified Google Professional Machine Learning Engineer. This guide is not just about passing an exam; it's about unlocking new opportunities and frontiers in the exciting world of machine learning on Google Cloud. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Google Cloud Platform For Enterprise Essential Training

Google Cloud Platform For Enterprise Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Learn how to leverage Google Cloud Platform, including serverless, data storage, and data pipeline services, to meet the needs of your enterprise organization.

Pytorch Essential Training Deep Learning

Pytorch Essential Training Deep Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem-from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network.

Google Cloud Platform Gcp Essential Training For Developers

Google Cloud Platform Gcp Essential Training For Developers written by Albert Padin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Developing and deploying software in the cloud is the new normal for the tech industry and Google Cloud Platform (GCP) is one of the major cloud providers. Google provides a multitude of cloud computing services that can make developing much easier. In this course, discover how to design, build, and maintain applications in GCP. Learn best practices for deploying and configuring optimized, secure, and scalable settings in App Engine and for setting up Cloud SQL application architecture. See how to manage distributed queues in Cloud Tasks, a managed service for executing background tasks and processes. And finally, explore Cloud Logging and other GCP tools you can use to optimize your application when it goes live.

Building Machine Learning And Deep Learning Models On Google Cloud Platform

Building Machine Learning And Deep Learning Models On Google Cloud Platform written by Ekaba Bisong and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.

Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is dividedinto eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your results Know the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers