• Sat. Feb 8th, 2025

Statistical Modeling in Machine Learning

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  • Statistical Modeling in Machine Learning

ISBN: 978-81-969436-1-5

Authors: Dr. K. Anitha, Dr. D. Kavitha, Dr. Indu Tyagi, Dr. Manju Kashyap

Product Price ₹750.00
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Book Description

Statistics and machine learning, where the art and science of Statistical Modeling converge to unlock the potential of data-driven insights. This book, “Statistical Modeling in Machine Learning: Unveiling Patterns, Predictions, and Possibilities,” invites you to embark on a journey through the intricate world where statistical principles seamlessly meld with the transformative power of machine learning algorithms.

In the era of big data, Statistical Modeling provides the lens through which we make sense of the vast and complex information that surrounds us. Whether unraveling patterns, predicting future trends, or making informed decisions, the synergy between statistics and machine learning is at the heart of innovation across various domains—from finance and healthcare to marketing and technology.

This volume is designed to be a comprehensive guide for both novices and seasoned practitioners, offering a blend of theoretical foundations and practical applications. Each chapter is meticulously crafted to illuminate the nuances of statistical modeling techniques in the context of machine learning, providing a resource that empowers readers to harness the full potential of their data.

As we delve into topics such as regression analysis, classification, clustering, and beyond, the aim is to demystify complex concepts, making them accessible to a broad audience. Whether you are a student seeking a solid foundation, an industry professional looking to enhance your skills, or a researcher pushing the boundaries of knowledge, this book is crafted with your needs in mind.

The significance of statistical modeling in the realm of machine learning is ever-growing, influencing advancements in artificial intelligence, predictive modeling, and data-driven decision-making. Through this exploration, we hope to not only equip you with the tools to navigate the intricacies of statistical modeling but also to inspire a deeper appreciation for its transformative impact on the world of machine learning.

So, let the journey into the realm of Statistical Modeling in Machine Learning commence. May this book be your guide as you navigate the landscape of data, algorithms, and insights, unraveling the patterns that shape the future.

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