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Fundamentals of Machine Learning

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Title: Fundamentals of Machine Learning
Description: he updated and expanded edition of'Fundamentals of Machine Learning'is now widely available. It offers unrestricted exploration of machine learning concepts. providing readers with a clear understanding of its fundamental principles. Studying and experiencing concepts is easier when they are presented in a single book. This is why the idea of documenting all machine Learning basics in one place came about The book explains principles with real-time examples and in-depth studies. It is accessible to all readers and provides them with the knowledge they seek, regardless of their background. Combining machine Learning concepts involves both research and hands-on experience in real-time exploration. Each chapter offers practical experience to illustrate various strategies. Documenting implementation alongside explanations helps remove barriers and show real-time applications My objective in writing these chapters is to share fundamental machine Learning ideas with readers in specific domains. They can now implement machine Learning to achieve significant goals in their applications while maintaining high productivity.
Authors: Dr. L. Ashok Kumar
Resource Type: eBook.
Categories: COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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  Data: he updated and expanded edition of'Fundamentals of Machine Learning'is now widely available. It offers unrestricted exploration of machine learning concepts. providing readers with a clear understanding of its fundamental principles. Studying and experiencing concepts is easier when they are presented in a single book. This is why the idea of documenting all machine Learning basics in one place came about The book explains principles with real-time examples and in-depth studies. It is accessible to all readers and provides them with the knowledge they seek, regardless of their background. Combining machine Learning concepts involves both research and hands-on experience in real-time exploration. Each chapter offers practical experience to illustrate various strategies. Documenting implementation alongside explanations helps remove barriers and show real-time applications My objective in writing these chapters is to share fundamental machine Learning ideas with readers in specific domains. They can now implement machine Learning to achieve significant goals in their applications while maintaining high productivity.
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      – Code: eng
        Text: English
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
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