Combining Machine Learning And Business
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Combining Machine Learning and Business
In today's rapidly advancing digital era, the application of machine learning in various business aspects has become a crucial key in driving innovation and success. "Combining Machine Learning and Business" is designed to provide deep insights into how the integration of machine learning and business strategy can bring about significant transformation. This book not only elaborates on concepts and theories but further takes the reader on an applied research journey that has been undertaken. The author of this book, Yusep Maulana, has spent months conducting in-depth research on the application of machine learning technology in business, with a particular focus on case studies in Switzerland and the Netherlands. Through hands-on experience and direct collaboration with business practitioners in both countries, Yusep has managed to gather valuable data and insights on how machine learning can be integrated into business processes to enhance efficiency, innovation, and competitive advantage. This book presents the results of that research in an accessible way to readers, whether they are academics, business practitioners, students, or anyone with an interest in the field of machine learning and its application in the business world. It is hoped that readers will gain a broader and more applied understanding of the potential and challenges in combining machine learning with business strategy.
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
Author: Matt Taddy
language: en
Publisher: McGraw Hill Professional
Release Date: 2019-08-23
Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling Understand how use ML tools in real world business problems, where causation matters more that correlation Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.
AI and Business Analytics: Leveraging Machine Learning for Enhanced Business Intelligence
Author: SHACHI GHANSHYAM SAYATA, DR. ABHISHEK SINGH VERMA
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-22
In the ever-evolving world of business, data has emerged as one of the most valuable assets. With businesses generating an immense amount of data every day, the challenge lies in turning this data into actionable insights that drive informed decision-making. The convergence of Artificial Intelligence (AI) and business analytics provides a transformative approach to harnessing the potential of data, making it possible for organizations to gain deeper insights, enhance operational efficiency, and innovate in their strategies. "AI and Business Analytics: Leveraging Machine Learning for Enhanced Business Intelligence" explores this powerful intersection, offering a comprehensive understanding of how machine learning (ML) techniques are being utilized to revolutionize the business landscape. The book, authored by Shachi Ghanshyam Sayata and Dr. Abhishek Singh Verma, delves into the theoretical underpinnings of AI and ML while providing practical applications for businesses striving to gain a competitive edge in an increasingly data-driven world. The authors bring their expertise to the forefront by discussing a wide array of topics, from the basics of machine learning algorithms to their advanced applications in real-world business scenarios. The integration of AI in business intelligence allows companies to make predictions, optimize processes, and personalize customer experiences with unprecedented accuracy. As the digital transformation accelerates, businesses are adopting AI-driven analytics to stay ahead of market trends, anticipate challenges, and uncover new opportunities. This book aims to serve as a valuable resource for professionals, researchers, and students alike. It offers a balanced mix of theoretical concepts and hands-on applications, ensuring readers not only grasp the fundamental principles of AI and ML but also learn how to implement these techniques in business environments effectively. It is particularly relevant for those seeking to understand the practical integration of these technologies into business operations, and how AI can lead to smarter decision-making processes that ultimately drive growth and success. In summary, "AI and Business Analytics" provides the necessary tools and insights for leveraging machine learning technologies to unlock the full potential of business intelligence. The authors’ collective expertise and practical approach make this book an indispensable guide for anyone looking to explore the dynamic fusion of AI, business analytics, and machine learning in today’s rapidly changing business world. We hope that this work will inspire both the academic and professional community to engage with these exciting technologies, thereby contributing to the next generation of AI-powered business innovations. Authors