Advanced Analytics And Machine Learning For Business Growth A Practical Guide


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Advanced Analytics and Machine Learning for Business Growth: A Practical Guide


Advanced Analytics and Machine Learning for Business Growth: A Practical Guide

Author: Vybhav Reddy Kammireddy Changalreddy Prof Ashok Kumar

language: en

Publisher: DeepMisti Publication

Release Date: 2025-01-15


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In today’s competitive business landscape, growth is no longer just about hard work and intuition—it’s about making smarter decisions driven by insights from data. The advent of advanced analytics and machine learning (ML) has revolutionized how businesses understand their markets, optimize operations, and delight customers. Yet, the journey from raw data to actionable insights can be daunting, especially for organizations new to these transformative technologies. Advanced Analytics and Machine Learning for Business Growth: A Practical Guide is designed to demystify the complex world of analytics and machine learning, providing business leaders, analysts, and data enthusiasts with a clear and actionable roadmap to drive tangible results. This book bridges the gap between the technical depth of data science and the practical demands of business strategy, empowering readers to unlock the full potential of their data. Inside, you’ll discover: • The foundational principles of advanced analytics and machine learning in business contexts. • Practical applications for solving real-world challenges such as customer segmentation, churn prediction, and demand forecasting. • Step-by-step guides for implementing machine learning models, from data preparation to deployment. • Tools, platforms, and frameworks that accelerate analytics workflows. • Insights into navigating challenges like data quality, organizational buy-in, and ethical AI practices. This book is intentionally practical. Instead of overwhelming you with complex theories and algorithms, it focuses on actionable strategies that you can implement immediately, whether you’re working in retail, finance, healthcare, manufacturing, or any other industry. As you turn the pages, you’ll discover how advanced analytics and machine learning can transform your business—from identifying hidden opportunities to solving critical challenges. More importantly, you’ll gain the confidence to lead data-driven initiatives that foster growth, resilience, and competitive advantage. The future belongs to businesses that can adapt and innovate. With this book as your guide, you’re equipped to harness the power of advanced analytics and machine learning to fuel your organization’s growth and success. Welcome to the journey of transforming your business with data. Let’s build the future, one insight at a time. Authors

Machine Learning and Data Science for Business Optimization: A Practical Guide for Data-Driven Decision Making


Machine Learning and Data Science for Business Optimization: A Practical Guide for Data-Driven Decision Making

Author: Sushira Somavarapu Om Goel

language: en

Publisher: DeepMisti Publication

Release Date: 2025-01-15


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Machine Learning and Data Science for Business Optimization: A Practical Guide for Data-Driven Decision Making

Artificial Intelligence and Machine Learning for Business


Artificial Intelligence and Machine Learning for Business

Author: Steven Finlay

language: en

Publisher: Relativistic

Release Date: 2018-07


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Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.