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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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If Computer Science keeps catching your attention, “Data Mining and Machine Learning Essentials” is a title to put on your radar. Its listed scope opens a worthwhile conversation about AI & Machine Learning. 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. Use the subject to make something understandable: a sketch, a visual comparison, or a small demonstration. Choose the relationship that matters and give it a form another person can follow. Worth exploring when you are ready for a fresh reading direction.

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Explore Books, Computers & Technology, Computer Science with a reading approach that gives the ideas somewhere to go. 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.

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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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