Data Mining and Machine Learning Essentials

By Kenwright

Uncover the foundations of cutting-edge technologies with "Data Mining and Machine Learning Essentials." This book will take you on an illuminating journey through the intricate realms of data mining and machine learning, making complex concepts accessible and applicable. Master the essential principles, practical techniques, and real-world applications that form the backbone of these transformative fields. From understanding key terminology to navigating advanced algorithms, this book provides a roadmap for both beginners and seasoned professionals. Dive into the core concepts that drive data-driven decision-making and equip yourself with the skills needed to harness the power of data. Whether you're a novice looking to build a solid understanding or an expert seeking a comprehensive reference, this book is your go-to resource for mastering data mining and machine learning essentials.

Pages: 327
Publication: 6 January 2024
Language: English
ISBN: 9798874214982

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There is a strong reading opportunity in the space between Computer Science and AI & Machine Learning. “Data Mining and Machine Learning Essentials” brings those listed subjects onto the same shelf and gives your next question a place to start. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement. Bring a pencil, a small example, and the willingness to ask why a relationship works. Moving between symbols and visible behaviour can turn an abstract topic into something you want to investigate further. Save it for the next time you want to follow the idea further.

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Publisher’s synopsis

Data Mining and Machine Learning Essentials offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

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