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Author: Joel J. Davis
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548048471
Category :
Languages : en
Pages : 438
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Book Description
A comprehensive, step-by-step guide to Google's free website testing, optimization and personalization tool. Website experimentation is an important way to better understand your site visitors' preferences and behaviors and to dramatically improve your site's success. Experiments allow you to explore the impact of changes to site design or content so you can better see how even small modifications can lead to large differences in visitor response and outcomes. Google Optimize Demystified explains how to use Google Optimize to conduct website experiments that help you capitalize on current site strengths and minimize or eliminate current site weaknesses. Unfortunately, many site owners/managers are reluctant to experiment. This is due to the beliefs that experiments are: complicated and requite special expertise to plan, too expensive and disruptive, not relevant to my site's goals and objectives, and difficult to interpret, especially the statistics. Fortunately, Google Optimize eliminates all of these problems. Once you're familiar with Optimize, you'll be able to plan and deploy an experiment in about 10 minutes with no cumbersome HTML programming and without jeopardizing current site response. Additionally, Optimize presents results based on your existing metrics and business objectives to make it easy to see what you should do next to improve site success. The core of Google Optimize Demystified focuses on the three types of experiments you can conduct via Optimize: A/B, Redirect and Multivariate. Each type is explained via a case study and each step of the development and analysis process is explained clearly and concisely. But, the book goes beyond simply explaining how to plan, conduct and analyze an Optimize experiment. The book also provides clear and comprehensive discussions of additional topics that contribute to a broader range of planning and analysis options. All of these aspects of the book are illustrated in it's organization and approach. Google Optimize Demystified presents nine sections of content: Section I presents an overview of Google Optimize characteristics and benefits, explains the three types of experiments that can be conducted, describes the steps involved in planning an experiment and explains the characteristics of successful experiments. Section II discusses characteristics and application of regular expressions, goals, events, and segments as they apply to Optimize experiments. Section III discusses the steps you'll use to configure your Google Optimize account. Sections IV through VI each focus on a specific type of experiment. Each section consists of nine chapters that take you through step-by-step creation and interpretation of an A/B, multivariate, or redirect experiment, respectively. The Visual Editor is the free tool you will use to create your experimental variations. The chapters in Section VII explain the Editor's features and describe how to easily create experimental variations by editing text, images, links, and CSS. Targeting is how you specify an experiment's timing and participant characteristics. Section VIII provides a detailed, yet easy to follow discussion of the variations available within four commonly used targeting options: URL, Behavior, Geographic, and Technology. Section IX discusses an additional targeting option: Query parameter targeting. This approach is particularly useful when you are trying to optimize the landing page viewed when your external referral links are clicked. The chapters in this section show you how to add query strings to your referral links, how to target using query parameter information, and how to use this information to conduct a landing page optimization experiment.
Author: Joel J. Davis
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548048471
Category :
Languages : en
Pages : 438
Get Book Here
Book Description
A comprehensive, step-by-step guide to Google's free website testing, optimization and personalization tool. Website experimentation is an important way to better understand your site visitors' preferences and behaviors and to dramatically improve your site's success. Experiments allow you to explore the impact of changes to site design or content so you can better see how even small modifications can lead to large differences in visitor response and outcomes. Google Optimize Demystified explains how to use Google Optimize to conduct website experiments that help you capitalize on current site strengths and minimize or eliminate current site weaknesses. Unfortunately, many site owners/managers are reluctant to experiment. This is due to the beliefs that experiments are: complicated and requite special expertise to plan, too expensive and disruptive, not relevant to my site's goals and objectives, and difficult to interpret, especially the statistics. Fortunately, Google Optimize eliminates all of these problems. Once you're familiar with Optimize, you'll be able to plan and deploy an experiment in about 10 minutes with no cumbersome HTML programming and without jeopardizing current site response. Additionally, Optimize presents results based on your existing metrics and business objectives to make it easy to see what you should do next to improve site success. The core of Google Optimize Demystified focuses on the three types of experiments you can conduct via Optimize: A/B, Redirect and Multivariate. Each type is explained via a case study and each step of the development and analysis process is explained clearly and concisely. But, the book goes beyond simply explaining how to plan, conduct and analyze an Optimize experiment. The book also provides clear and comprehensive discussions of additional topics that contribute to a broader range of planning and analysis options. All of these aspects of the book are illustrated in it's organization and approach. Google Optimize Demystified presents nine sections of content: Section I presents an overview of Google Optimize characteristics and benefits, explains the three types of experiments that can be conducted, describes the steps involved in planning an experiment and explains the characteristics of successful experiments. Section II discusses characteristics and application of regular expressions, goals, events, and segments as they apply to Optimize experiments. Section III discusses the steps you'll use to configure your Google Optimize account. Sections IV through VI each focus on a specific type of experiment. Each section consists of nine chapters that take you through step-by-step creation and interpretation of an A/B, multivariate, or redirect experiment, respectively. The Visual Editor is the free tool you will use to create your experimental variations. The chapters in Section VII explain the Editor's features and describe how to easily create experimental variations by editing text, images, links, and CSS. Targeting is how you specify an experiment's timing and participant characteristics. Section VIII provides a detailed, yet easy to follow discussion of the variations available within four commonly used targeting options: URL, Behavior, Geographic, and Technology. Section IX discusses an additional targeting option: Query parameter targeting. This approach is particularly useful when you are trying to optimize the landing page viewed when your external referral links are clicked. The chapters in this section show you how to add query strings to your referral links, how to target using query parameter information, and how to use this information to conduct a landing page optimization experiment.
Author: David Santana
Publisher: Packt Publishing Ltd
ISBN: 1803230576
Category : Computers
Languages : en
Pages : 474
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Book Description
Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.
Author: Prashant Natarajan
Publisher: CRC Press
ISBN: 1351032933
Category : Computers
Languages : en
Pages : 433
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Book Description
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
Author: Ms. Kaushaki Sondhi
Publisher: JEC PUBLICATION
ISBN: 9358507322
Category : Juvenile Fiction
Languages : en
Pages : 270
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Book Description
"Digital Dynamo: Unleashing the Power of Modern Marketing" is a comprehensive guide that dives deep into the dynamic world of digital marketing, providing readers with a strategic roadmap to navigate the ever-evolving landscape and maximize their online presence. This book will equip marketers, business owners, and aspiring digital enthusiasts with practical insights, real-world case studies, and actionable strategies to succeed in the digital realm. In this comprehensive exploration of digital marketing, we delved into various aspects of creating effective strategies, connecting with audiences, and staying ahead in the ever-evolving digital landscape. We started by defining digital marketing and recognizing its significance in modern business. We traced its evolution, dissecting its impact on traditional marketing practices. Understanding the components of a successful digital marketing strategy was a pivotal step, where we emphasized setting clear goals tailored to business needs and identifying target audiences through buyer personas. We explored content strategy creation, content format diversification, and leveraging storytelling to emotionally engage customers. The journey ventured into the realm of social media, where we discussed major platforms, organic and paid strategies, and the art of building a loyal community. We then navigated the intricacies of SEO, both on-page and off-page, while emphasizing the importance of staying current with search engine algorithm changes. Pay-per-click advertising, including Google Ads and Bing Ads, was demystified, accompanied by insights into crafting effective ad copy and optimizing campaigns for ROI. We expanded into search engine marketing (SEM) and display advertising, revealing their potential impact. Email campaigns took center stage, from designing engaging content and compelling subject lines to building segmented lists and automating sequences for nurturing and retention. The role of data analytics was highlighted, showcasing its power in shaping strategies, tracking performance, and understanding customer behavior. Wrapping up, we explored emerging technologies like AI, chatbots, and virtual reality, envisioning their integration into future marketing efforts. Ethical considerations underscored the importance of maintaining consumer trust and data security. Finally, building transparency and trust emerged as the bedrock of successful digital marketing, culminating in a holistic perspective on navigating the dynamic digital landscape.
Author: Emmanuel Gillain
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111426149
Category : Computers
Languages : en
Pages : 476
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Book Description
This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into machine learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. All royalties go to a charity. "Demystifying AI reveals its true power: not as a mysterious force, but as a tool for human progress, accessible to all who seek to understand it." Dr. Barak Chizi, Chief Data & Analytics Officer, KBC Group
Author: Douglas J. Santry
Publisher: John Wiley & Sons
ISBN: 1394205627
Category : Computers
Languages : en
Pages : 261
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Book Description
DEMYSTIFYING DEEP LEARNING Discover how to train Deep Learning models by learning how to build real Deep Learning software libraries and verification software! The study of Deep Learning and Artificial Neural Networks (ANN) is a significant subfield of artificial intelligence (AI) that can be found within numerous fields: medicine, law, financial services, and science, for example. Just as the robot revolution threatened blue-collar jobs in the 1970s, so now the AI revolution promises a new era of productivity for white collar jobs. Important tasks have begun being taken over by ANNs, from disease detection and prevention, to reading and supporting legal contracts, to understanding experimental data, model protein folding, and hurricane modeling. AI is everywhere—on the news, in think tanks, and occupies government policy makers all over the world —and ANNs often provide the backbone for AI. Relying on an informal and succinct approach, Demystifying Deep Learning is a useful tool to learn the necessary steps to implement ANN algorithms by using both a software library applying neural network training and verification software. The volume offers explanations of how real ANNs work, and includes 6 practical examples that demonstrate in real code how to build ANNs and the datasets they need in their implementation, available in open-source to ensure practical usage. This approachable book follows ANN techniques that are used every day as they adapt to natural language processing, image recognition, problem solving, and generative applications. This volume is an important introduction to the field, equipping the reader for more advanced study. Demystifying Deep Learning readers will also find: A volume that emphasizes the importance of classification Discussion of why ANN libraries, such as Tensor Flow and Pytorch, are written in C++ rather than Python Each chapter concludes with a “Projects” page to promote students experimenting with real code A supporting library of software to accompany the book at https://github.com/nom-de-guerre/RANT An approachable explanation of how generative AI, such as generative adversarial networks (GAN), really work. An accessible motivation and elucidation of how transformers, the basis of large language models (LLM) such as ChatGPT, work. Demystifying Deep Learning is ideal for engineers and professionals that need to learn and understand ANNs in their work. It is also a helpful text for advanced undergraduates to get a solid grounding on the topic.
Author: Brad Geddes
Publisher: John Wiley & Sons
ISBN: 0470640731
Category : Computers
Languages : en
Pages : 565
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Book Description
Master Google AdWords and get more out of your campaigns What's the secret to making every pay-per-click of your Google AdWords really pay? This must-have guide-written by a Google Advanced AdWords seminar instructor-shows you exactly how to apply advanced techniques and tactics for better results. Discover the best tools for keyword research, tips on crafting winning ad copy, advanced PPC optimization tricks, winning bidding strategies, and much more. If you manage AdWords PPC accounts, you won't want to miss this expert, detailed instruction. Covers the essential and advanced capabilities of Google AdWords Explores keyword research, PPC optimization strategies, the intricacies of Content Nation, how to interpret results and reports, and much more Provides busy marketers, consultants, PR professionals, Web developers, and others with an invaluable, step-by-step guide of advanced concepts Goes well beyond the basics and offers tips and tactics that you can immediately apply to your own campaigns Reinforces concepts through fascinating, real-world case studies Includes a $25 Google Adwords Gift Card for new customers If you've been seeking a practical, expert book on Google AdWords, one that goes well beyond the basics, Advanced Google AdWords is it!
Author: Pradeep N
Publisher: Academic Press
ISBN: 0128220449
Category : Science
Languages : en
Pages : 374
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Book Description
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. - Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies - Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics - Unique case study approach provides readers with insights for practical clinical implementation
Author: Keshav Kaushik
Publisher: CRC Press
ISBN: 1000936880
Category : Computers
Languages : en
Pages : 247
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Book Description
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.
Author: Rayan Wali
Publisher: Rayan Wali
ISBN:
Category : Computers
Languages : en
Pages : 301
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Book Description
Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions.
