Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Machine Learning In Marketing
Download Machine Learning In Marketing full books in PDF, epub, and Kindle. Read online Machine Learning In Marketing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Machine Learning and Artificial Intelligence in Marketing and Sales by : Niladri Syam
Download or read book Machine Learning and Artificial Intelligence in Marketing and Sales written by Niladri Syam and published by Emerald Group Publishing. This book was released on 2021-03-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.
Book Synopsis Artificial Intelligence for Marketing by : Jim Sterne
Download or read book Artificial Intelligence for Marketing written by Jim Sterne and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.
Book Synopsis Machine Learning for Marketing by : Hiroshi Mamitsuka
Download or read book Machine Learning for Marketing written by Hiroshi Mamitsuka and published by . This book was released on 2019-06-14 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engineering, finance, agriculture, to name a few. Marketing is rather behind this trend, while marketing has a lot of potential applications for machine learning. In other words, marketing may change into more autonomous scientific work by using data and also proper formulation of each application into a machine learning problem. This book focuses on two major, traditional paradigms of marketing: target marketing and relationship marketing. Then it is revealed that each of numerous aspects of the two marketing paradigms can be formulated into a machine learning problem. That is, for each problem, a machine learning model can be built and parameters of the model can be estimated/optimized from given data. For example, an important objective of target marketing can be interpreted as a problem of finding a customer segment, which has a plenty of customers but no competitors. This problem can be formulated into a machine learning problem for which a model is built and model parameters can be estimated from given data. This book, for each machine learning problem setting, always builds a simpler (probably simplest) model, so that readers can understand the idea and assumption of the model easily. This book would be useful for both sides of marketing and machine learning. That is, marketers would be able to study the way of formulating a problem of marketing into a machine learning problem/function in which parameters are estimated from given data. On the other hand, machine learners would be able to study applications of marketing and also essential and intuitive ideas behind marketing through numerous applications in this book.
Book Synopsis Machine Learning in Marketing by : Vinicius Andrade Brei
Download or read book Machine Learning in Marketing written by Vinicius Andrade Brei and published by . This book was released on 2020-08-31 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hands-On Data Science for Marketing by : Yoon Hyup Hwang
Download or read book Hands-On Data Science for Marketing written by Yoon Hyup Hwang and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize your marketing strategies through analytics and machine learning Key FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learnLearn how to compute and visualize marketing KPIs in Python and RMaster what drives successful marketing campaigns with data scienceUse machine learning to predict customer engagement and lifetime valueMake product recommendations that customers are most likely to buyLearn how to use A/B testing for better marketing decision makingImplement machine learning to understand different customer segmentsWho this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.
Download or read book Lean AI written by Lomit Patel and published by "O'Reilly Media, Inc.". This book was released on 2020-01-30 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
Book Synopsis The AI Marketing Canvas by : Raj Venkatesan
Download or read book The AI Marketing Canvas written by Raj Venkatesan and published by Stanford University Press. This book was released on 2021-05-18 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.
Book Synopsis Introduction to Algorithmic Marketing by : Ilya Katsov
Download or read book Introduction to Algorithmic Marketing written by Ilya Katsov and published by . This book was released on 2017-12 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
Book Synopsis AI for Marketing and Product Innovation by : A. K. Pradeep
Download or read book AI for Marketing and Product Innovation written by A. K. Pradeep and published by John Wiley & Sons. This book was released on 2018-11-26 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.
Book Synopsis Data Science for Marketing Analytics by : Mirza Rahim Baig
Download or read book Data Science for Marketing Analytics written by Mirza Rahim Baig and published by Packt Publishing Ltd. This book was released on 2021-09-07 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
Book Synopsis The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning by : William Ammerman
Download or read book The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning written by William Ammerman and published by McGraw Hill Professional. This book was released on 2019-05-24 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketers are harnessing the enormous power of AI to drive unprecedented results The world of marketing is undergoing major change. Sophisticated algorithms can test billions of marketing messages and measure results, and shift the weight of campaigns—all in real time. What’s next? A complete transformation of marketing as we know it, where machines themselves design and implement customized advertising tactics at virtually every point of digital contact. The Invisible Brand provides an in-depth exploration of the risks and rewards of this epochal shift—while delivering the information and insight you need to stay ahead of the game. Renowned technologist William Ammerman draws from his decades of experience at the forefront of digital marketing to provide a roadmap to our data-driven future. You’ll learn how data and AI will forge a new level of persuasiveness and influence for reshaping consumers’ buying decisions. You’ll understand the technology behind these changes and see how it is already at work in digital assistants, recommendation engines and digital advertising. And you’ll find unmatched insight into how to harness the power of artificial intelligence for maximum results. As we enter the age of mass customization of messaging, power and influence will go to those who know the consumer best. Whether you are a marketing executive or concerned citizen, The Invisible Brand provides everything you need to understand how brands are harnessing the extraordinary amounts of data at their disposal—and capitalizing on it with AI.
Book Synopsis Data Science for Marketing Analytics by : Tommy Blanchard
Download or read book Data Science for Marketing Analytics written by Tommy Blanchard and published by Packt Publishing Ltd. This book was released on 2019-03-30 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
Book Synopsis AI in Marketing, Sales and Service by : Peter Gentsch
Download or read book AI in Marketing, Sales and Service written by Peter Gentsch and published by Springer. This book was released on 2018-10-22 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Book Synopsis Machine Learning for Business by : Doug Hudgeon
Download or read book Machine Learning for Business written by Doug Hudgeon and published by Simon and Schuster. This book was released on 2019-12-24 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies
Book Synopsis artificial Intelligence / Machine Learning In Marketing by : James Seligman
Download or read book artificial Intelligence / Machine Learning In Marketing written by James Seligman and published by Lulu.com. This book was released on 2020-02-17 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory and practice of AI and ML in marketing saving time, money
Book Synopsis Data-Driven Marketing with Artificial Intelligence by : Martin Wass
Download or read book Data-Driven Marketing with Artificial Intelligence written by Martin Wass and published by . This book was released on 2018-06-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The marketing industry is being disrupted right before of our eyes, and the new technological revolution will transform our world. Artificial intelligence is set to change everything we know about marketing and how we interact with customers. Business leaders need to pay attention, or they risk being left behind. Artificial intelligence will drive a massive shift in business models, and will profoundly change how businesses and customers communicate. Staying at the forefront of these changes is essential for any business to stay competitive. Data-Driven Marketing with Artificial Intelligence is the definitive guide to understanding and using AI in marketing. It is essential reading for corporate and marketing leaders, and anyone seeking to understand how artificial intelligence will lead us into the world of tomorrow. Featuring discussions with dozens of industry leaders, it provides both an overview of how AI will continue to affect online marketing, and details of how to implement these new tools into your business. Learn how traditional marketing strategies are being replaced by autonomous, data-driven, and self-optimizing systems capable of providing more relevance to each customer, improving loyalty, and ultimately increasing the bottom line. After reading this book, you will understand these key topics: * The disruption that artificial intelligence and other emerging technologies will have on marketing, sales, and the industries that surround them * The latest AI-based software tools and what they can do for marketers today * Using big data, predictive analytics, and machine learning in marketing * How to develop and implement your own custom AI software * The risks AI hold for your job or business * How new technologies, beyond AI, will disrupt marketing even further * The legal and ethical aspects of using artificial intelligence systems Leading experts and technology CEOs believe that soon, nearly every decision we make will be influenced by AI technology. Marketing is no exception, and it will see changes faster and with wider adoption than any other. In an AI-enabled world, companies will have to adjust to new purchase patterns to stay in business. Learning about and implementing AI tools will keep your business on the forefront of the next technological revolution--while the rest play catch up. Buy the book now to jump into the world of artificial intelligence and stay one step ahead of the competition!
Book Synopsis Using Artificial Intelligence in Marketing by : Katie King
Download or read book Using Artificial Intelligence in Marketing written by Katie King and published by Kogan Page Publishers. This book was released on 2019-02-03 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is paving the way for the future of marketing and business transformation, yet many organizations struggle to know exactly how and where to integrate it. This book is the ultimate guide to embracing the opportunity that AI can bring for your marketing. With AI forecasted to boost global GDP by 14% by 2030, an efficient and sustainable AI marketing strategy is now essential to avoid losing the competitive edge. Using Artificial Intelligence in Marketing provides the definitive, practical framework needed for marketers to identify, apply and embrace the opportunity to maximize the results and business advancement that AI can bring. Streamlining efficiencies into every business practice, AI automates simpler, repetitive tasks with unrivalled accuracy, allowing sales and marketing teams to return their attention to where human interaction is most valuable: strategy, creativity and personal connection. Using Artificial Intelligence in Marketing outlines key marketing benefits such as accurate market research samples, immediate big data insights and brand-safe content creation, right through to the on-demand customer service that is now expected 24/7. It also explores the inevitable myths, concerns and ethical questions that can arise from the large-scale adoption of AI. This book is an essential read for every 21st century marketer.
