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People with more taste buds are, for example, sensitive to bitterness and are more likely to drink their coffee with sugar or milk, or to drink tea.This book helps product managers, marketers, and corporate decision-makers understand and predict customers' behavior and preferences.
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.Bringing together the qualitative and the technological, and avoiding a simplistic broad overview, this book equips those in the field with methods to implement machine learning and AI models within their own organisations. Bridging the "e;Domain Specialist - Data Scientist Gap"e; (DS-DS Gap) is imperative to the success of this and chapters delve into this subject from a marketing practitioner and the data scientist perspective. Rather than a context-free introduction to AI and machine learning, data scientists implementing these methods for addressing marketing and sales problems will benefit most if they are exposed to how AI and machine learning have been applied specifically in the marketing and sales contexts.Marketing and sales practitioners who want to collaborate with data scientists can be much more effective when they expand their understanding across boundaries to include machine learning and AI.
The luxury fashion industry is one of the best performing and fastest growing industries in today's business landscape, and is set to continue expanding over the next years.
By demonstrating that extreme consumers are characterized by a unique psychology that leads them to act and think differently, this book offers scholars deeper insights into consumer behaviour, while also helping practitioners target this lucrative marketing segment more effectively.
This book examines key issues in international digital marketing in China from a theoretical and empirical perspective.
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method¿s flexibility in terms of data requirements and measurement specification.This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software¿s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the ¿how-tos¿ of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
Author ROD BURNS reveals a formula that will help the reader achieve their goals. Have you ever said to yourself, why can some people achieve more in life than other people. Sometimes it is just luck but most of the time, these people followed a defined plan of action that helped them accomplish that goal. The book will show you a successful formula to use to achieve your goals in life. Many people set goals but fall short of accomplishing their dreams. The main reason for not accomplishing a goal is that you failed somewhere along the way, your methods and strategies that you were using did not work. This book will show you how to overcome those bumps in the road and develop new methods and strategies that will work towards accomplishing your goals in life. Follow the formula and you will achieve your dreams.
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