Download or read book Predictive Tourism Entertainment written by Johnny Ch LOK and published by . This book was released on 2018-09-25 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: In first part,I shall apply psychology methods to attempt to predict space tourism planner individual space tourism desire in whole future space tourism leisure market development. This part researchs three questions:(1) What factors will raise space tourism leisure desire to space travelling planners?(2) How will raise cruise or destination tourism leisure desire and their travel desire will not be reduced by space tourism choice influence?(3) How to develop these both kinds of tourism entertainment activities in order to keep their tourism consumption balance in whole tourism entertainment industry ? Whether will future space tourism market development be popular to be accepted one kind of travelling leisure to any travelling consumers in global? What factors can influence traveler prefer to choose space tourism entertainment more than general Earth tourism entertainment? How to influence future space tourism traveler individual space travel entertainment desire to be more stronger? How to attract travelers to feel space tourism entertainment which is one kind of real meaning of life travel leisure at least one time spending? In second part, I shall indicate how to apply (AI) tool to predict cruise and destination traveler consumption behavior aspect, this part has these three research questions need to be answered?(1) Can apply (AI) learning machine to predict travelling consumer behavior?(2) Can (AI) big data gathering learning machine be replaced to human travelling marketing research method, e.g. survey or traveler psychological and travelling marketing research or travelling environment micro and macro economic human judgement of traveler consumption behavior prediction methods to predict travelling consumer behaviors more accurate?(3) Is AI tourism behavioral prediction tool or traditional tourism market research method better to predict tourism market behavior? In this book, I shall follow travel psychologists and space tourism entertainment businessmen support view points to give my opinions to attempt to answer above questions. My readers will learn how to apply new space travel strategic knowledge and (AI) or traditonal tourism marketing predict methods to solve and predict future space tourism leisure as well as cruise and destination consumer behavior more accurately.
Download or read book Predictive Cruise and Destination and Space Tourism Entertainment Behavioral Consumption written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-25 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, many airline firms or travelling agents, even future space tourism companies hope to apply different methods to predict travelling consumer behaviors in order to know what will be future next month, even next year travelling market destination choice and travelling package design preferable choice activities and travelling consumers travelling packages or travelling destination taste changes to help them to choose to implement what kinds of travelling marketing strategies or what are travelling packages or airline ticket prices more reasonable or more accurate range price level to attract travelers choose to the airline or travel agent to buy paper or e- ticket or help them to arrange travel package more attractive. Hence, if the travel agent or airline can apply the most suitable travelling consumer behavioral prediction method to predict how and the reasons why future travelling consumers' choice will be changed to influence their frequent travelling destination or travelling package choice. It will have more beneficial intangible advantages to compare the non-predictive travelling consumer behavioral variable changes travel agents or airlines, e.g. what will be the hot travel entertainment destinations and tangible advantages, what are the most suitable airline and hotel reasonable price range level to attract many travelers to choose to find the airline or travel agent to help them to buy air ticket or they ought know how to design their arrange travel package which will be accepted more popular for next or next year travelling customer's hot needs .Otherwise, if they applied the inaccurate traveler consumer behavioral prediction market research methods, e.g. survey, telephone questionnaire to predict how their consumers' behavioral changes. It will waste their time and money to attempt to make wrong travelling hot destinations and travelling package design to make unattractive travelling marketing strategy to cause travelling customer number to be reduced. In first part, I shall apply psychology methods to attempt to predict space tourism planner individual space tourism desire in whole future space tourism leisure market development. This part researchs three questions: (1) What factors will raise space tourism leisure desire to space travelling planners? (2) How will raise cruise or destination tourism leisure desire and their travel desire will not be reduced by space tourism choice influence? (3) How to develop these both kinds of tourism entertainment activities in order to keep their tourism consumption balance in whole tourism entertainment industry ? Whether will future space tourism market development be popular to be accepted one kind of travelling leisure to any travelling consumers in global? What factors can influence traveler prefer to choose space tourism entertainment more than general Earth tourism entertainment? How to influence future space tourism traveler individual space travel entertainment desire to be more stronger? How to attract travelers to feel space tourism entertainment which is one kind of real meaning of life travel leisure at least one time spending? In second part, I shall indicate how to apply (AI) tool to predict cruise and destination traveler consumption behavior aspect, this part has these three research questions need to be answered? (1) Can apply (AI) learning machine to predict travelling consumer behavior? (2) Can (AI) big data gathering learning machine be replaced to human travelling marketing research method, e.g. survey or traveler psychological and travelling marketing research or travelling environment micro and macro economic human judgement of traveler consumption behavior prediction methods to predict travelling consumer behaviors more accurate? (3) Is AI tourism behavioral prediction tool or traditional tourism market research method better to predict tourism market behavior?
Download or read book Forecasting Tourism Demand written by Douglas Frechtling and published by Routledge. This book was released on 2012-05-23 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Forecasting tourism demand' is a text that no tourism professional can afford to be without. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. Building on the success of 'Practical Tourism Forecasting' this text looks at 13 methods of forecasting and with a user friendly style, 'Forecasting Tourism Demand' guides the reader through each method, highlighting its strengths and weaknesses and explaining how it can be applied to the tourism industry. 'Forecasting Tourism Demand' employs charts and tables to explain how to: * plan a forecasting project * analyse time series and other information * select the appropriate forecasting model * use the model for forecasting and evaluate its results Ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists. Executives who rely on forecasts prepared by others will find it invaluable in assisting them to evaluate the validity and reliability of predictions and forecasts. Those engaged in analysing business trends will find it useful in surveying the future of what has been called the largest industry in the world.
Download or read book Is Prediction Tourism More Easy Than Publish Consumer Behavior written by Johnny Ch Lok and published by Createspace Independent Publishing Platform. This book was released on 2018-09-13 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: My aim research this two questions: (1) What factors influence to predict tourism consumer behavior ( e-travel ticket or paper ticket buyer) more easy than publish consumer behavior ( e-book or paper book buyer) ? (2) Why and how can artificial intelligent tool predict traveler entertainment behavior more easy than book buyer reading behavior? The first part explains online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, publishing industry competition is serious. Electronic books, newspapers will be popular to let readers have more reading method to choice. So, publishers need to consider what factors can attract readers to choose to read their books, magazines, journals, newspapers in order to avoid reading customer number reduces as well as they choose other medias to replace their reading medias. In second part, it concerns how to attract readers' reading interest to persuade them to choose to buy the publish firm's books to read? It is one interesting question to every publisher. I shall explain what factors can influence the readers to keep positive attitude to read the publishers' reading products as well as how to solve any readers' reading interest loses to the publishers' reading product challenges in order to avoid its reading customer number reduces. It is one reading consumption psychological research topic book for every interesting reading psychological publishing industry readers. The Three part aims to explain what strategies will be different between online and offline travel agents as well as I shall indicate how to apply (AI) tool to predict traveler behavior . To indicate what are online travel and general travel service strategy difference aspect. I shall indicate what are the strengths and weaknesses between online and offline travel agents? How can online travel agents win offline travel agents or how can offline travel agents win online travel? Why do travel consumers either choose online travel agents or offline travel agents to help them to arrange travel trips? What factors will change their mind to influence them to choose to buy electronic air ticket or paper air ticket from either offline travel agents or online travel agents? For example, I shall general investigating methods to predict travel behavioural consumption, such as qualitative of travel behavioural method, advanced traveler information systems (ATIS) method, online tourism sale channel method, actively based patterns of urban population of travel behavioural prediction method, trip based versus activity based approaches of method. Also, I shall explain how to predict the future number travel age target, it includes both the senior age group and young age group in order to how to attract these two different travel age target group. I shall indicate how to use psychological method to predict travel behavioral consumption.
Download or read book Predicting Fluctuation Impacts Traveller Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-02-13 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter FiveHow social internet networkingimpacts traveller individual behavior Can web site online internet networking influence traveller individual behavior changes? If web site can influence every online traveller user individual behavior change, how it influence every online user individual behavior change in order to impact his/her travelling service or arrangement change choice. For example, when the traveller walks in one travel agent's shop to find the most suitable travelling packge for whose trip. At the moment, he/she pland to find the travel agent to help him/her to arrange any travelling package. But when he/she goes back his/her home, he/she turns on his/her computer to link online travel agent website. Then, he/she discovers this online travel agent can provide more attractive travelling package similar service ans he/she will compare the walk in travel agent's travelling package to this online travel agent travelling package. Although, the walk-in travelling agent can provide lesser service fee to compare this online travel agent. But, he/she feels this online travel agent can provide more attractive and enjoyable travelling entertainment and trip arrangement service to satisfy his/her travelling need. So, he/she decides to choose this online travelling agent's travelling package and it seems that the online travel agent web site can influence his/her original travelling agent targe choice.Nowadays, the most famous online developmet reshaping traditional marketing methods of tourism business will be possible to replace the traditional walk-in travel agent business. Because travelling consumers like to turn on computer to link to different travelling agents' websites to choose which travelling package is the cheapest or it can provie the most attractive or enjoyable entertainment arrangement in the trip. So, online travel agents will influence travelling consumers to reduce to spend time to walk in to visit any travel agent shops. The traveller prefers to spend much time to find which travelling agents' websites to find the most right online travelling agent to help him/her to arrange the trip service to replace to find the most right walk-in travelling agent at home conveniently. So, travelling agent website development can impact every traveller individual planning behavior to be changed influentially because when he/she plans to walk in to visit the identified travel agent shop, but when he/she has one desk top computer to be installed at home. Then, he/she will have another choice to buy the travelling package service. So, he/she will change his/her walk in to visit the travel agent planning behavior to change to clicking on any travel agent's website behavior.
Download or read book Can Apply Artificial Intelligent Tourism Prediction written by Johnny Ch LOK and published by . This book was released on 2018-07-08 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, many airline firms or travelling agents hope to apply different methods to predict travelling consumer behaviors in order to know what will be future next month, even next year travelling market destination choice and travelling package design preferable choice activities and travelling consumers travelling packages or travelling destination taste changes to help them to choose to implement what kinds of travelling marketing strategies or what are travelling packages or airline ticket prices more reasonable or more accurate range price level to attract travelers choose to the airline or travel agent to buy paper or e- ticket or help them to arrange travel package more attractive. Hence, if the travel agent or airline can apply the most suitable travelling consumer behavioral prediction method to predict how and the reasons why future travelling consumers' choice will be changed to influence their frequent travelling destination or travelling package choice. It will have more beneficial intangible advantages to compare the non-predictive travelling consumer behavioral variable changes travel agents or airlines, e.g. what will be the hot travel entertainment destinations and tangible advantages, what are the most suitable airline and hotel reasonable price range level to attract many travelers to choose to find the airline or travel agent to help them to buy air ticket or they ought know how to design their arrange travel package which will be accepted more popular for next or next year travelling customer's hot needs .Otherwise, if they applied the inaccurate traveler consumer behavioral prediction market research methods, e.g. survey, telephone questionnaire to predict how their consumers' behavioral changes. It will waste their time and money to attempt to make wrong travelling hot destinations and travelling package design to make unattractive travelling marketing strategy to cause travelling customer number to be reduced. In my this book first part, I concentrate on explain why artificial intelligence (AI) big data gathering tool will be one kind of good traveler consumer behavioral prediction tool to be chose to apply to predict traveler consumer consumption behavior concerns when and why and how their travelling behavior will change. I shall indicate some cases examples to give reasonable evidences to analyze whether (AI) big data gathering tool will be one kind suitable tool to be applied to predict when and how and why travelling consumer behavioral changes. If (AI) big data can be one kind tool to attempt to be applied to predict when and how and why travelling consumer behavioral changes. Will it make more accurate to compare other kinds of methods to predict travelling consumer behaviors, e.g. survey, telephone questionnaire? Does it have weaknesses to be applied to predict travelling consumer behaviors, instead of strengths? Can it be applied to predict travelling consumer behaviors depending on any situations or only some situations? Finally, I believe that any readers can find answers to answer above these questions in this book.In the second part, I shall explain whether it is possible to predict travel behavioural consumption from traditional tourism market research psychology view . In this part, I shall indicate what factors can influence travel behavioural consumption, such as climate changing, renting travel car tools choice, the country's risk and safety. Then I shall indicate what psychological factors can influence travel behavioural consumption, such as: push and pull psychological factor, expectation and motivation and attitude factor.
Download or read book How Society Influences Human Tourism Behavioral Change written by John Lok and published by . This book was released on 2022-08-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How social change influences human behavioral change ? Why human behavior may be influenced by social change? Our individual behavior whether can be influenced to bring negative or positive attitude by social change? I shall attempt to indicate cases to explain whether our individual behavior can be influenced to changed by social environment change. Readers can have more understand how and why social change may influence our behavior in possible. Behavioral economy is one useful and fun social subject. Behavioral economists ususally research how and why human behaviors may influence economy growth or recession, or how and why economy environment changing factor may influence human behavior changes. In this book, I shall follow travel psychologists and space tourism entertainment businessmen support view points to give my opinions to attempt to answer above questions. My readers will learn how to apply new space travel strategic knowledge and (AI) or traditonal tourism marketing predict methods to solve and predict future space tourism leisure as well as cruise and destination consumer behavior more accurately.
Download or read book Demand and Supply Theory Predicts written by Johnny Ch Lok and published by . This book was released on 2020-11-12 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can apply demand and supply theory raises basic stable income consumer consumption desireEconomists aim to develop models of human behavior and interactions in consumption markets. But consumers behave in complex ways, such as how to predict consumers to make rational decisions in consumption processes. Moreover, self-consumption control and motivation can vary significantly across different individual consumer.In order to build useful consumption prediction models, economists make simplifying assumptions, aims to predict how to raise stable basic income consumer target group consumption more success. However, behavioral economy method is one kind of accurate consumption prediction method. It can be applied to predict economic decision-making to every consumer consumption choice more accurate raising whose consumption desire?I shall indicate how to apply different behavioral economy methods ( demand and supply theory) to raise stable basic stable income target consumer group consumption desire in these different consumption situation ( consumption environment) aspects as below:1.Stable basic stable income consumer group consumption great or small amount desireThe consumption of products and services is a fundamental part of consumer's welfare. Basically, every one who has stable basic stable income, who will like to consume any products and services. Even, consumption great or small amount desire won't be depended on whether the person whose income is more or less. It means low income level of people will still like to consume great amount to buy expensive products or consume expensive services, because consumption is human's part of life and basic needs. This stable basic income people will like to consume, because they have stable income source when they do not worry about unemployment occurrence to cause them have no enough money to support their life. Otherwise, non-stable basic stable income people won't like to consume because they feel they have no stable basic income source to support their life and they will worry about unemployment occurrence any time. Hence, stable basic income people will have more consumption desire to compare non-stable basic stable income people in any countries usually. Behavioral economic method indicates they feel their economic benefits will be loss if they planned to buy any products or consume any services easily. So, they prefer to save money in bank more than consumption.Prediction traveller individual tourism entertainment package choice from psychology view and computer statistic view. How to predict travel consumption? It is one question to any travel agents concern to use what methods which can predict how many numbers of travelers where who will choose to go to travel more accurately. I think that who can consider how to predict travel behavioral consumption from psychology view and computer science view both.On the psychology view, It has evidence to support the relationship between self-identify threat and resistance to change travel behavior to any travelers, controlling for whose past travelling behavior, resistance to change if a psychological phenomenon of long standing interest in many applied branches of psychology. Past travelling behavior has been acknowledged as a predictor of future action. Such as travelling behavior that is experienced as successful is likely to be repeated and may lead to habitual patterns. Some psychologists differentiate habit between two concepts, such as goal oriented and automatic oriented both. Although repeated past travelling behavior is addition goal oriented and automatic oriented. Further non-deliberative nature of habit may make appeals to judge and to predict future individual traveler's behaviour accrately. However, repeated travelling behavior without a necessary constraint of goal orientation and automatic oriented both.
Download or read book Embracing and Managing Change in Tourism written by Bill Faulkner and published by Routledge. This book was released on 2003-09-02 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embracing and Managing Change in Tourism examines management responses to the major changes taking place in international tourism and considers tourism itself as an agent of change. Including twenty-two detailed case studies from around the world this book explores two key principles. Firstly that change is enevitable and, if effectively managed, has the potential to benefit all those living in, working in and visiting the destination. Secondly, that there are no universal prescriptions for the effective management of change in tourism, since each destination has distinguishing characteristics and the nature of the problems facing it change over time.
Download or read book Predicting Travel Behaviors During the COVID 19 Pandemic with the Protection Motivation Theory written by Mauro Eduardo Ortiz Bustamante and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has affected tourism across the world as borders closed, travel restrictions were imposed, and mandatory quarantine protocols were set in place. Any travel in these conditions would be considered a risk. In the tourism industry, risk perception and behavioral changes, namely travel intention, have been widely studied in the light of diverse situations including terrorist attacks, health crises, and natural disasters among others. However, little research has been conducted on the travel behaviors and risk perception of travelers during the COVID-19 pandemic. In this paper, the travel behaviors of tourists during the COVID-19 pandemic are analyzed with the aid of the Protection Motivation Theory. Data was collected during the months of October and November of 2020 through a comprehensive online survey in which 223 participants from across the globe took part. The main purpose of this paper is to investigate travel intention during the pandemic as well as travel behaviors including engaging in protective behavior. The results show that tourists are still willing to travel and are planning to travel during the winter season of 2020/2021 despite considering COVID-19 as a latent risk and are willing to engage in the different protective behaviors available (e.g. wearing masks). The findings of this paper are important because they can help us predict future travel behaviors not only during the COVID-19 pandemic, which at the time of writing of this paper is still ongoing, but during different health crises that might affect our freedom of movement in the future.
Download or read book Tourist Behavior written by Narendra Kumar and published by CRC Press. This book was released on 2023-01-12 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying tourist behavior—what tourists do, what their preferences are, etc.—provides helpful information for designing new tourism products, for policymaking, and for developing effective tourism marketing strategies. This informative volume offers a diverse selection of chapters on research related to the customer behavior of tourists. With chapters from tourism professionals from around the world, the volume presents research work, new perspectives, and case studies of tourist behavior from varied cultural and geographical backgrounds. The volume addresses relationship management at different types of tourist destinations, such as spas and museums; the creation and sustainability of tourism luxury brands; the continuing growing influence of social media and digital technology on tourist choices; gauging tourists’ motivation, satisfaction, and return-trip intentions; the role of tourism activities on destination choice; perspectives and case studies on heritage tourism, and more. The book also includes a chapter on how virtual reality, streaming, and livestreaming during the COVID pandemic affected tourism and goes on to makes predictions for tourist behavior in the post-COVID-19 era.
Download or read book Consumer Behaviour in Tourism written by Susan Horner and published by Routledge. This book was released on 2016-04-28 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now fully revised and updated, the third edition of this bestselling text provides students with a vital understanding of the nature of tourism and contemporary tourists behaviour in political, social and economic context and how this knowledge can be used to manage and market effectively in a variety of tourism sectors including: tourism operations, tourist destinations, hospitality, visitor attractions, retail travel and transport. This third edition has been updated to include: New material on the impacts of IT on research and marketing communications, the rise and influence of social media and virtual technology, the growth in the interest of sustainable tourism products including slow food, the experience economy and new consumer experiences including fulfilment. New international case studies throughout including growth regions such as the Middle East, Russia, Europe, China, India and Brazil. New companion website including Power point slides and a case archive. Each chapter features conclusions, discussion points and essay questions, and exercises, at the end, to help tutors direct student-centred learning and to allow the reader to check their understanding of what they have read. This book is an invaluable resource for students following tourism courses.
Download or read book Proceedings of the International Academic Conference on Tourism INTACT Post Pandemic Tourism Trends and Future Directions INTACT 2022 written by Janianton Damanik and published by Springer Nature. This book was released on 2023-02-10 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. This international conference aims to discuss and provide critical views based on empirical experience and the relevant concepts to the changing trends and future directions of tourism development after the Covid-19 pandemic. Some of the topics that can be raised as discussion material include (but are not limited to): Adaptation strategies of tourism transportation modes to the CHSE standard Adaptation strategies and models of the tourism accommodation industry to the CHSE standard Creative Industry and tourism MSME business models in the post-pandemic period Reactivation and revitalization of community-based tourism businesses Optimizing the use of IT products in tourism business management Innovation and implementation of carbon neutral and green zones in tourism destinations Trends in travel financing planning changes Issues of de-skilling, recharging, and up-skilling tourism HR The future of tourism education institutions Reconstruction of tourism institutions in the post-pandemic period Relations between tourists and tourists in tourism destinations in the post-pandemic period Changes in tourist market profiles and preferences and their implications for promotion and marketing strategies Tourist perspectives on post-pandemic tourism and CHSE practices Trends and prospects for healthy tourism and green tourism This is an open access book. This is an open access book.
Download or read book Spectator Sport and Fan Behavior sequel written by Yair Galily and published by Frontiers Media SA. This book was released on 2024-05-15 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is the second volume of the Research Topic "Spectator sports fan behavior". Please see the first volume here. Spectator sports fan behavior is vast and represents one of society’s most universal leisure activities. While event attendance and media consumption received a great deal of attention from scholars, there is a growing understanding that sports fans interact, both physically and digitally, with their favorite teams in numerous other ways. At the same time, research also demonstrated a positive relationship between fan identification and self-esteem. Thus, the aim of this Research Topic is to explore fan behaviors in many different areas, involving sports media and the (ever-changing) digital environment.
Download or read book Forecasting Time Series Data with Prophet written by Greg Rafferty and published by Packt Publishing Ltd. This book was released on 2023-03-31 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using Python Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore Prophet, the open source forecasting tool developed at Meta, to improve your forecasts Create a forecast and run diagnostics to understand forecast quality Fine-tune models to achieve high performance and report this performance with concrete statistics Book DescriptionForecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community. You'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models in production. By the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.What you will learn Understand the mathematics behind Prophet’s models Build practical forecasting models from real datasets using Python Understand the different modes of growth that time series often exhibit Discover how to identify and deal with outliers in time series data Find out how to control uncertainty intervals to provide percent confidence in your forecasts Productionalize your Prophet models to scale your work faster and more efficiently Who this book is forThis book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.
Download or read book Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality written by Kumar, Sanjeev and published by IGI Global. This book was released on 2024-03-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where technology and hospitality converge, the models of travel and lodging are undergoing a transformative shift known as hybrid hospitality. As modern travelers' expectations evolve and digital transformation becomes a cornerstone across industries, the infusion of technology into hospitality is not merely an option but an imperative. A comprehensive resource is needed to explore the compelling forces driving the demand for enhanced technological capabilities within hybrid hospitality, specifically focusing on artificial intelligence (AI). Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality delves into various themes integral to this investigation, from delivering personalized experiences to ensuring productivity and security in global hospitality. It directs attention to the infinite business opportunities unfolding worldwide and technology's profound impact on the tourism sector. Embark on a journey through the pages of this comprehensive guide to understand why the seamless integration of technology is preferable and an essential foundation for elevating guest satisfaction and reshaping the global hospitality.
Download or read book Journal of Travel Research written by and published by . This book was released on 2010-02 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
