Machine Learning With Bigquery Ml
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Machine Learning With Bigquery Ml
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Author : Alessandro Marrandino
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-06-11
Machine Learning With Bigquery Ml written by Alessandro Marrandino and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Computers categories.
Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery ML Key FeaturesGain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery MLLeverage SQL syntax to train, evaluate, test, and use ML modelsDiscover how BigQuery works and understand the capabilities of BigQuery ML using examplesBook Description BigQuery ML enables you to easily build machine learning (ML) models with SQL without much coding. This book will help you to accelerate the development and deployment of ML models with BigQuery ML. The book starts with a quick overview of Google Cloud and BigQuery architecture. You'll then learn how to configure a Google Cloud project, understand the architectural components and capabilities of BigQuery, and find out how to build ML models with BigQuery ML. The book teaches you how to use ML using SQL on BigQuery. You'll analyze the key phases of a ML model's lifecycle and get to grips with the SQL statements used to train, evaluate, test, and use a model. As you advance, you'll build a series of use cases by applying different ML techniques such as linear regression, binary and multiclass logistic regression, k-means, ARIMA time series, deep neural networks, and XGBoost using practical use cases. Moving on, you'll cover matrix factorization and deep neural networks using BigQuery ML's capabilities. Finally, you'll explore the integration of BigQuery ML with other Google Cloud Platform components such as AI Platform Notebooks and TensorFlow along with discovering best practices and tips and tricks for hyperparameter tuning and performance enhancement. By the end of this BigQuery book, you'll be able to build and evaluate your own ML models with BigQuery ML. What you will learnDiscover how to prepare datasets to build an effective ML modelForecast business KPIs by leveraging various ML models and BigQuery MLBuild and train a recommendation engine to suggest the best products for your customers using BigQuery MLDevelop, train, and share a BigQuery ML model from previous parts with AI Platform NotebooksFind out how to invoke a trained TensorFlow model directly from BigQueryGet to grips with BigQuery ML best practices to maximize your ML performanceWho this book is for This book is for data scientists, data analysts, data engineers, and anyone looking to get started with Google's BigQuery ML. You'll also find this book useful if you want to accelerate the development of ML models or if you are a business user who wants to apply ML in an easy way using SQL. Basic knowledge of BigQuery and SQL is required.
Google Bigquery The Definitive Guide
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Author : Valliappa Lakshmanan
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-23
Google Bigquery The Definitive Guide written by Valliappa Lakshmanan and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-23 with Computers categories.
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.
Hands On Artificial Intelligence On Google Cloud Platform
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Author : Anand Deshpande
language : en
Publisher:
Release Date : 2020-03-06
Hands On Artificial Intelligence On Google Cloud Platform written by Anand Deshpande and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Computers categories.
Data Science On The Google Cloud Platform
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-03-29
Data Science On The Google Cloud Platform written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Computers categories.
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
Gcp Cdl Practice Questions For Google Cloud Digital Leader Certification
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Author : Dormouse Quillsby
language : en
Publisher: Dormouse Quillsby
Release Date :
Gcp Cdl Practice Questions For Google Cloud Digital Leader Certification written by Dormouse Quillsby and has been published by Dormouse Quillsby this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
NotJustExam - GCP-CDL Practice Questions for Google Cloud Digital Leader Certification Struggling to find quality study materials for the Google Certified Cloud Digital Leader (GCP-CDL) exam? Our question bank offers over 280+ carefully selected practice questions with detailed explanations, insights from online discussions, and AI-enhanced reasoning to help you master the concepts and ace the certification. Say goodbye to inadequate resources and confusing online answers—we’re here to transform your exam preparation experience! Why Choose Our GCP-CDL Question Bank? Have you ever felt that official study materials for the GCP-CDL exam don’t cut it? Ever dived into a question bank only to find too few quality questions? Perhaps you’ve encountered online answers that lack clarity, reasoning, or proper citations? We understand your frustration, and our GCP-CDL certification prep is designed to change that! Our GCP-CDL question bank is more than just a brain dump—it’s a comprehensive study companion focused on deep understanding, not rote memorization. With over 280+ expertly curated practice questions, you get: Question Bank Suggested Answers – Learn the rationale behind each correct choice. Summary of Internet Discussions – Gain insights from online conversations that break down complex topics. AI-Recommended Answers with Full Reasoning and Citations – Trust in clear, accurate explanations powered by AI, backed by reliable references. Your Path to Certification Success This isn’t just another study guide; it’s a complete learning tool designed to empower you to grasp the core concepts of Cloud Digital Leader. Our practice questions prepare you for every aspect of the GCP-CDL exam, ensuring you’re ready to excel. Say goodbye to confusion and hello to a confident, in-depth understanding that will not only get you certified but also help you succeed long after the exam is over. Start your journey to mastering the Google Certified: Cloud Digital Leader certification today with our GCP-CDL question bank! Learn more: Google Certified: Cloud Digital Leader https://cloud.google.com/learn/certification/cloud-digital-leader
Google Cloud Digital Leader Exam Study Guide
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Author : Manoj Patil
language : en
Publisher: Manoj Patil
Release Date : 2025-06-06
Google Cloud Digital Leader Exam Study Guide written by Manoj Patil and has been published by Manoj Patil this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Education categories.
Achieve Certification with Confidence Whether you're a seasoned IT professional or just starting your cloud journey, this study guide is your roadmap to success. Our study guide offers several key benefits that set it apart from other resources: - Streamlined Learning: By distilling complex concepts into easily digestible notes, we help you study smarter, not harder. - Time-Efficient: With our guide, you'll be able to cover the vast scope of Google Cloud services in a fraction of the time it would take with traditional study materials. - Practice Q&A: Contains sample questions and answers with explanations and reference reading for practicing actual exam like questions, ensuring you're well-prepared for the real test. - Up-to-Date Curriculum: This study guide is specifically based on Google's latest exam guide curriculum, ensuring that you study exactly what you need to know to pass the certification exam. Invest in Your Future Don't let exam preparation hold you back. Invest in your future with this comprehensive study guide and unlock the doors to new career opportunities in the world of Google Cloud computing. Get ready to achieve your certification goals with confidence and precision!
Official Google Cloud Certified Professional Data Engineer Study Guide
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Author : Dan Sullivan
language : en
Publisher: John Wiley & Sons
Release Date : 2020-05-11
Official Google Cloud Certified Professional Data Engineer Study Guide written by Dan Sullivan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with Computers categories.
The proven Study Guide that prepares you for this new Google Cloud exam The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. Build and operationalize storage systems, pipelines, and compute infrastructure Understand machine learning models and learn how to select pre-built models Monitor and troubleshoot machine learning models Design analytics and machine learning applications that are secure, scalable, and highly available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.
Architecting Google Cloud Solutions
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Author : Victor Dantas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-05-14
Architecting Google Cloud Solutions written by Victor Dantas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-14 with Computers categories.
Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect. Key FeaturesGain hands-on experience in designing and managing high-performance cloud solutionsLeverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and servicesUse Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutionsBook Description Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform. What you will learnGet to grips with compute, storage, networking, data analytics, and pricingDiscover delivery models such as IaaS, PaaS, and SaaSExplore the underlying technologies and economics of cloud computingDesign for scalability, business continuity, observability, and resiliencySecure Google Cloud solutions and ensure complianceUnderstand operational best practices and learn how to architect a monitoring solutionGain insights into modern application design with Google CloudLeverage big data, machine learning, and AI with Google CloudWho this book is for This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.
Mastering Google Cloud Platform
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-06
Mastering Google Cloud Platform 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 2023-09-06 with Computers categories.
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Building Machine Learning And Deep Learning Models On Google Cloud Platform
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Author : Ekaba Bisong
language : en
Publisher: Apress
Release Date : 2019-09-27
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