Download or read book The Google Model written by Annika Steiber and published by Springer Science & Business Media. This book was released on 2014-04-14 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how companies like Google have reinvented the common practice in management in order to continuously innovate in fast changing industries. With the ever-increasing pace of change, reinventing existing management principles could become a necessity and prove crucial in the long-term competitiveness of many companies. The book presents a unique synthesis of findings from leading research on long-term competitiveness in fast changing industries. The core of the study comprises an exclusive 1-year in-depth research study on the drivers of innovation at Google and includes examples on how Google has translated the reinvented management principles into practice. The book also offers key action-points to help practitioners in reinventing their own management models for continuous innovation.

Download or read book The Google Way written by Bernard Girard and published by No Starch Press. This book was released on 2009 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: For readers seeking deeper insights, 'The Google Way' investigates the history and unconventional strategies that make Google a very different (and very inspiring) company.

Download or read book Google and the Culture of Search written by Ken Hillis and published by Routledge. This book was released on 2013 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Google and the Culture of Search examines the role of search technologies in shaping the contemporary digital and informational landscape. Ken Hillis and Michael Petit shed light on a culture of search in which our increasing reliance on search engines like Google, Yahoo! and Bing influences the way we navigate Web content--and how we think about ourselves and the world around us, online and off. Even as it becomes the number one internet activity, the very ubiquity of search technology naturalizes it as utilitarian and transparent--an assumption that Hillis and Petit explode in this innovative study. Commercial search engines supply an infrastructure that impacts the way we locate, prioritize, classify, and archive information on the Web, and as these search functionalities continue to make their way into our lives through mobile, GPS-based platforms and personalized results, distinctions between the virtual and the real collapse. Google--a multibillion-dollar global corporation--holds the balance of power among search providers, and the biases and individuating tendencies of its search algorithm undeniably shape our collective experience of the internet and our assumptions about the location and value of information. Google and the Culture of Search explores what is at stake for an increasingly networked culture in which search technology is a site of knowledge and power. This comprehensive study of search technology's broader implications for knowledge production and social relations is an indispensable resource for students and scholars of Internet and new media studies, the digital humanities, and information technology. "-- Provided by publisher.

Download or read book The Gv Model Guide written by Tenny Pinheiro and published by Createspace Independent Publishing Platform. This book was released on 2018-02-13 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a must-have to any Design Sprint Master out there in the field running Design Sprints. It is full of best-practices and straight to the point information about the Google Ventures' Design Sprint methodology.

Download or read book Learning Google Cloud Vertex AI written by Hemanth Kumar K and published by BPB Publications. This book was released on 2023-08-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI KEY FEATURES ● Harness the power of AutoML capabilities to build machine learning models. ● Learn how to train custom machine learning models on the Google Cloud Platform. ● Accelerate your career in data analytics by leveraging the capabilities of GCP. DESCRIPTION Google Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI. WHAT YOU WILL LEARN ● Learn how to create projects, store data in GCP, and manage access permissions effectively. ● Discover how AutoML can be utilized for streamlining workflows. ● Learn how to construct pipelines using TFX (TensorFlow Extended) and Kubeflow components. ● Gain an overview of the purpose and significance of the Feature Store. ● Explore the concept of explainable AI and its role in understanding machine learning models. WHO THIS BOOK IS FOR This book is designed for data scientists and advanced AI practitioners who are interested in learning how to perform machine learning tasks on the Google Cloud Platform. Having prior knowledge of machine learning concepts and proficiency in Python programming would greatly benefit readers. TABLE OF CONTENTS 1. Basics of Google Cloud Platform 2. Introduction to Vertex AI and AutoML Tabular 3. AutoML Image, Text, and Pre-built Models 4. Vertex AI Workbench and Custom Model Training 5. Vertex AI Custom Model Hyperparameter and Deployment 6. Introduction to Pipelines and Kubeflow 7. Pipelines using Kubeflow for Custom Models 8. Pipelines using TensorFlow Extended 9. Vertex AI Feature Store 10. Explainable AI

Download or read book Official Google Cloud Certified Professional Machine Learning Engineer Study Guide written by Mona Mona and published by John Wiley & Sons. This book was released on 2023-10-27 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratch Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cards A can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

Download or read book Up and Running Google AutoML and AI Platform Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment English Edition written by Navin Sabharwal and published by BPB Publications. This book was released on 2021-01-05 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to build machine learning and NLP models using Google AutoML KEY FEATURESÊ ¥Understand the basic concepts of Machine Learning and Natural Language Processing ¥Understand the basic concepts of Google AutoML, AI Platform, and Tensorflow ¥Explore the Google AutoML Natural Language service ¥Understand how to implement NLP models like Issue Categorization Systems using AutoML ¥Understand how to release the features of AutoML models as REST APIs for other applications ¥Understand how to implement the NLP models using the Google AI Platform DESCRIPTIONÊÊ Google AutoML and AI Platform provide an innovative way to build an AI-based system with less effort. In this book, you will learn about the basic concepts of Machine Learning and Natural Language Processing. You will also learn about the Google AI services such as AutoML, AI Platform, and Tensorflow, GoogleÕs deep learning library, along with some practical examples using these services in real-life scenarios. You will also learn how the AutoML Natural Language service and AI Platform can be used to build NLP and Machine Learning models and how their features can be released as REST APIs for other applications. In this book, you will also learn the usage of GoogleÕs BigQuery, DataPrep, and DataProc for building an end-to-end machine learning pipeline. Ê This book will give you an in-depth knowledge of Google AutoML and AI Platform by implementing real-life examples such as the Issue Categorization System, Sentiment Analysis, and Loan Default Prediction System. This book is relevant to the developers, cloud enthusiasts, and cloud architects at the beginner and intermediate levels. WHAT YOU WILL LEARNÊ By the end of this book, you will learn how Google AutoML, AI Platform, BigQuery, DataPrep, and Dapaproc can be used to build an end-to-end machine learning pipeline. You will also learn how different types of AI problems can be solved using these Google AI services. A step-by-step implementation of some common NLP problems such as the Issue Categorization System and Sentiment Analysis System that provide you with hands-on experience in building complex AI-based systems by easily leveraging the GCP AI services. Ê WHO IS THIS BOOK FORÊ This book is for machine learning engineers, NLP users, and data professionals who want to develop and streamline their ML models and put them into production using Google AI services. Prior knowledge of python programming and the basics of machine learning would be preferred. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence 2. Introducing the Google Cloud Platform 3. AutoML Natural Language 4. Google AI Platform 5. Google Data Analysis, Preparation, and Processing Services AUTHOR BIOÊ Navin Sabharwal: Navin is an innovator, leader, author, and consultant in AI and Machine Learning, Cloud Computing, Big Data Analytics, Software Product Development, Engineering, and R&D. He has authored books on technologies such as GCP, AWS, Azure, AI and Machine Learning systems, IBM Watson, chef, GKE, Containers, and Microservices. He is reachable at [email protected]. Amit Agrawal: Amit holds a masterÕs degree in Computer Science and Engineering from MNNIT (Motilal Nehru National Institute of Technology, Allahabad), one of the premier institutes of Engineering in India. He is working as a principal Data Scientist and researcher, delivering solutions in the fields of AI and Machine Learning. He is responsible for designing end-to-end solutions and architecture for enterprise products. He is reachable at [email protected].

Download or read book Getting Started with Google BERT written by Sudharsan Ravichandiran and published by Packt Publishing Ltd. This book was released on 2021-01-22 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers library Key FeaturesExplore the encoder and decoder of the transformer modelBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERTDiscover how to pre-train and fine-tune BERT models for several NLP tasksBook Description BERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results. This book is an introductory guide that will help you get to grips with Google's BERT architecture. With a detailed explanation of the transformer architecture, this book will help you understand how the transformer’s encoder and decoder work. You’ll explore the BERT architecture by learning how the BERT model is pre-trained and how to use pre-trained BERT for downstream tasks by fine-tuning it for NLP tasks such as sentiment analysis and text summarization with the Hugging Face transformers library. As you advance, you’ll learn about different variants of BERT such as ALBERT, RoBERTa, and ELECTRA, and look at SpanBERT, which is used for NLP tasks like question answering. You'll also cover simpler and faster BERT variants based on knowledge distillation such as DistilBERT and TinyBERT. The book takes you through MBERT, XLM, and XLM-R in detail and then introduces you to sentence-BERT, which is used for obtaining sentence representation. Finally, you'll discover domain-specific BERT models such as BioBERT and ClinicalBERT, and discover an interesting variant called VideoBERT. By the end of this BERT book, you’ll be well-versed with using BERT and its variants for performing practical NLP tasks. What you will learnUnderstand the transformer model from the ground upFind out how BERT works and pre-train it using masked language model (MLM) and next sentence prediction (NSP) tasksGet hands-on with BERT by learning to generate contextual word and sentence embeddingsFine-tune BERT for downstream tasksGet to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT modelsGet the hang of the BERT models based on knowledge distillationUnderstand cross-lingual models such as XLM and XLM-RExplore Sentence-BERT, VideoBERT, and BARTWho this book is for This book is for NLP professionals and data scientists looking to simplify NLP tasks to enable efficient language understanding using BERT. A basic understanding of NLP concepts and deep learning is required to get the best out of this book.

Download or read book The Google Guys written by Richard L. Brandt and published by Penguin. This book was released on 2011-06-28 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: How much do you really know about Google's founders, Larry Page and Sergey Brin? The Google Guys skips past the general Google story and focuses on what really drives the company's founders. Richard L. Brandt shows the company as the brainchild of two brilliant individuals and looks at Google's business decisions in light of its founders' ambition and beliefs. Larry is the main strategist, with business acumen and practical drive, while Sergey is the primary technologist and idealist, with brilliant ideas and strong moral positions. But they work closely together, almost like complementary halves of a single brain. Through interviews with current and former employees, competitors, partners, and senior Google management, plus conversations with the founders themselves, Brandt demystifies the company while clarifying a number of misconceptions.

Download or read book Data Science on the Google Cloud Platform written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2017-12-12 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You’ll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines

Download or read book Getting Started with Google Wave written by Andres Ferrate and published by "O'Reilly Media, Inc.". This book was released on 2009-10-22 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get in front of Google Wave, the exciting new real-time communication and collaboration technology that unifies email, instant messaging (IM), wiki, and social networking functions on one integrated platform. Getting Started with Google Wave gives you a good look at this game-changing technology while it's still in the development stage. In the first two chapters, you'll quickly learn about the Google Wave structure and how it works. The second two chapters help you work with the Google Wave Client, a web app that allows end users to participate and collaborate. Become familiar with Google Wave's key concepts and terminology Learn about the threaded conversation model incorporated into conversations, or waves Get use cases that show how the platform offers consumers a distinct advantage over current communication and collaboration technologies Learn about extensions such as wavelets, blips, gadgets, and robots More than a million users have downloaded Google Wave since it became available in public preview. Don't wait. Catch the wave with this book.

Download or read book What Would Google Do LP written by Jeff Jarvis and published by Harper Collins. This book was released on 2009-02-17 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bold and vital book that asks and answers the most urgent question of today: What Would Google Do? In a book that's one part prophecy, one part thought experiment, one part manifesto, and one part survival manual, internet impresario and blogging pioneer Jeff Jarvis reverse-engineers Google—the fastest-growing company in history—to discover forty clear and straightforward rules to manage and live by. At the same time, he illuminates the new worldview of the internet generation: how it challenges and destroys, but also opens up vast new opportunities. His findings are counterintuitive, imaginative, practical, and above all visionary, giving readers a glimpse of how everyone and everything—from corporations to governments, nations to individuals—must evolve in the Google era. Along the way, he looks under the hood of a car designed by its drivers, ponders a worldwide university where the students design their curriculum, envisions an airline fueled by a social network, imagines the open-source restaurant, and examines a series of industries and institutions that will soon benefit from this book's central question. The result is an astonishing, mind-opening book that, in the end, is not about Google. It's about you.

Download or read book Google Google Shopping and Amazon written by Sébastien Broos and published by . This book was released on 2018 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show that the Commission intends to adopt a flawed definition of the relevant market in the Google Shopping case. Using two-sided intermediaries' theory, we show that only one market linking the two sides of Google, consumers and advertisers, should be defined. Therefore, competitive constraints should be evaluated on both sides and not only on consumers' side. Moreover, we show that, because a single market must be defined for Google, competing business models such as those of Amazon also pose significant competitive constraints to Google. In sum, it is not clear that Google enjoys a dominant position if the market is properly defined. We propose that business model competition and two-sided intermediaries' theory should be included in the market definition toolbox in new technology and dynamic markets.

Download or read book Building Machine Learning and Deep Learning Models on Google Cloud Platform written by Ekaba Bisong and published by Apress. This book was released on 2019-09-27 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 divided into 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 resultsKnow 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

Download or read book AUUG Conference Proceedings written by and published by . This book was released on 1993 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Business Model Generation written by Alexander Osterwalder and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow's enterprises. If your organization needs to adapt to harsh new realities, but you don't yet have a strategy that will get you out in front of your competitors, you need Business Model Generation. Co-created by 470 "Business Model Canvas" practitioners from 45 countries, the book features a beautiful, highly visual, 4-color design that takes powerful strategic ideas and tools, and makes them easy to implement in your organization. It explains the most common Business Model patterns, based on concepts from leading business thinkers, and helps you reinterpret them for your own context. You will learn how to systematically understand, design, and implement a game-changing business model--or analyze and renovate an old one. Along the way, you'll understand at a much deeper level your customers, distribution channels, partners, revenue streams, costs, and your core value proposition. Business Model Generation features practical innovation techniques used today by leading consultants and companies worldwide, including 3M, Ericsson, Capgemini, Deloitte, and others. Designed for doers, it is for those ready to abandon outmoded thinking and embrace new models of value creation: for executives, consultants, entrepreneurs, and leaders of all organizations. If you're ready to change the rules, you belong to "the business model generation!"

Download or read book Flexible Views for View based Model driven Development written by Burger, Erik and published by KIT Scientific Publishing. This book was released on 2014-11-14 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern software development faces the problem of fragmentation of information across heterogeneous artefacts in different modelling and programming languages. In this dissertation, the Vitruvius approach for view-based engineering is presented. Flexible views offer a compact definition of user-specific views on software systems, and can be defined the novel ModelJoin language. The process is supported by a change metamodel for metamodel evolution and change impact analysis.