Applied Predictive Modelling For Marketing In Python
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Applied Predictive Modelling For Marketing In Python
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Author : Sameer Rahman
language : en
Publisher:
Release Date : 2020-06-04
Applied Predictive Modelling For Marketing In Python written by Sameer Rahman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with categories.
The authors noted that while there is so much talk about the adoption of predictive modelling within marketing and more specifically direct marketing, there is no one book in the market which takes the audience through an applied step by step approach on how to develop a predictive model. This book serves as a guide and is a hands-on learning tool for any self-starter, modeller or data scientist who wants to learn how to develop predictive models. It's a practical guide for both analysts and marketing people and walks them through the different steps of developing a predictive model. The authors believe that for anyone looking to learn predictive models, this is the one book that they will have to read. The book also touches on the softer side of predictive model development which is, how to present the models, whom to present the models, the best ways to get the model deployed for improving business outcomes.
Hands On Data Science For Marketing
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Author : Yoon Hyup Hwang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-29
Hands On Data Science For Marketing written by Yoon Hyup Hwang and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Computers categories.
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.
Statistical Methods For Machine Learning
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2018-05-30
Statistical Methods For Machine Learning written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Computers categories.
Statistics is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in statistics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more.
Sports Analytics And Data Science
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Author : Thomas W. Miller
language : en
Publisher: FT Press
Release Date : 2015-11-18
Sports Analytics And Data Science written by Thomas W. Miller and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Business & Economics categories.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.
Decolonizing Marketing Theory And Practice
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Author : Hasan Gilani
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-22
Decolonizing Marketing Theory And Practice written by Hasan Gilani and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Business & Economics categories.
In academic institutions worldwide, the call to decolonize the syllabus, curriculum, and the entire university experience is growing louder and more urgent. Yet, the conversation must extend beyond blogs, hashtags, and social media trends. This book dives deep into the critical need to challenge and transform the foundations of marketing education. Addressing the urgent need for deeper conversations, this book delves into the multifaceted process of decolonizing marketing theory and practice to foster a more inclusive field. Through an insightful collection of contributions, this book critically examines the entrenched roots of colonization, capitalism, and inequality, urging us to move beyond simply adding non-white authors and non-Western case studies to the curriculum. Decolonization should begin with a focus on inclusivity and equality, progressing towards the recognition and exploration of diverse contexts and paradigms. Through rigorous analysis and innovative perspectives, this book identifies key areas in marketing pedagogy that require decolonization, urging a move away from exclusionary practices and Western-centric ideologies. It identifies crucial areas where texts, knowledge, and contexts need to be decolonized, advocating for a paradigm shift from a culture of exclusion and Western-centric ideologies to one that embraces inclusivity and a broad range of philosophical perspectives from the non-Western world. Aimed at researchers and academics in the field of marketing, this book offers a profound exploration of teaching and learning dynamics from a more inclusive and diverse perspective. By fostering engagement with a wider audience, it seeks to enrich the discourse around marketing education with a more nuanced and enriched perspective. Decolonizing Marketing Theory and Practice is an essential resource for those committed to creating a more equitable and comprehensive understanding of marketing in a global context.
Interdisciplinary Research In Technology And Management
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Author : Satyajit Chakrabarti
language : en
Publisher: CRC Press
Release Date : 2021-09-14
Interdisciplinary Research In Technology And Management written by Satyajit Chakrabarti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
The conference on ‘Interdisciplinary Research in Technology and Management” was a bold experiment in deviating from the traditional approach of conferences which focus on a specific topic or theme. By attempting to bring diverse inter-related topics on a common platform, the conference has sought to answer a long felt need and give a fillip to interdisciplinary research not only within the technology domain but across domains in the management field as well. The spectrum of topics covered in the research papers is too wide to be singled out for specific mention but it is noteworthy that these papers addressed many important and relevant concerns of the day.
Mastering Marketing Data Science
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Author : Iain Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-26
Mastering Marketing Data Science written by Iain Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
Marketing Analytics Using Excel
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Author : Rahul Pratap Singh Kaurav
language : en
Publisher: SAGE Publications Limited
Release Date : 2025-03-15
Marketing Analytics Using Excel written by Rahul Pratap Singh Kaurav and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Business & Economics categories.
Marketing Analytics Using Excel is the essential introduction to data-driven marketing, which simplifies complex concepts and offers practical, real-world applications. This comprehensive yet accessible guide encourages an in-depth understanding of marketing analytics, from fundamental topics and basic Excel functions to more advanced topics such as AI and predictive analytics. Packed with practical examples and easy-to-follow, fully worked problems which demonstrate how theoretical concepts are applied in real-world situations, this book also includes: • Industry case studies from leading companies like Zappos, Amazon, Netflix, and Spotify, providing insights into how marketing analytics is applied in various industries. • Exercises, activities and discussion questions to reinforce learning. • A focus on open access tools and career prospects which encourages readers to develop further. This no-nonsense guide minimises the intimidation factor of complex formulas and instead focuses on practical, real-world applications, making it essential reading for Marketing students and anyone looking to upskill. Dr Rahul Pratap Singh Kaurav is Associate Professor at FORE School of Management, New Delhi, India. Dr Asha Thomas is an Assistant Professor at Wroclaw University of Science and Technology (WUST), Poland.
Information Modelling And Knowledge Bases Xxix
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Author : V. Sornlertlamvanich
language : en
Publisher: IOS Press
Release Date : 2018-02-09
Information Modelling And Knowledge Bases Xxix written by V. Sornlertlamvanich and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
Information modelling and knowledge bases have become ever more essential in recent years because of the need to handle and process the vast amounts of data which now form part of everyday life. The machine to machine communication of the Internet of Things (IoT), in particular, can generate unexpectedly large amounts of raw data. This book presents the proceedings of the 27th International Conference on Information Modelling and Knowledge Bases (EJC2017), held in Krabi, Thailand, in June 2017. The EJC conferences originally began in 1982 as a co-operative initiative between Japan and Finland, but have since become a world-wide research forum bringing together researchers and practitioners in information modelling and knowledge bases for the exchange of scientific results and achievements. Of the 42 papers submitted, 29 were selected for publication here, and these cover a wide range of information-modelling topics, including the theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, software engineering, cross-cultural computing, environmental analysis, social networks, and WWW information. The book will be of interest to all those whose work involves dealing with large amounts of data.
Applied Predictive Modelling For Direct Marketing In Sas
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Author : Alun Brain
language : en
Publisher:
Release Date : 2018-10-24
Applied Predictive Modelling For Direct Marketing In Sas written by Alun Brain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with categories.
The authors noted that while there is so much talk about the adoption of predictive modelling within marketing and more specifically direct marketing, there is no one book in the market which takes the audience through an applied step by step approach on how to develop a predictive model. This book serves as a guide and is a hands-on learning tool for any self-starter, modeller or data scientist who wants to learn how to develop predictive models. It's a practical guide for both analysts and marketing people and walks them through the different steps of developing a predictive model. The authors believe that for anyone looking to learn predictive models, this is the one book that they will have to read. The book also touches on the softer side of predictive model development which is, how to present the models, whom to present the models, the best ways to get the model deployed for improving business outcomes.