David Matuszek
Quick Recursion
Quick Recursion
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This book provides a comprehensive guide to machine learning, covering topics such as neural networks, genetic algorithms, and support vector machines, and is suitable for beginners and experts alike.
This book provides a comprehensive guide to machine learning, covering topics such as neural networks, genetic algorithms, and support vector machines, and is suitable for beginners and experts alike.
Format: Paperback / softback
Length: 160 pages
Publication date: 22 February 2023
Publisher: Taylor & Francis Ltd
This book tackles a complex topic in a concise and accessible manner, making it accessible to readers who may initially feel overwhelmed by its complexity. The author, with over 40 years of teaching and industry experience, has leveraged their expertise to create a comprehensive guide that provides a solid foundation for understanding the subject matter.
Additionally, the book includes an appendix that offers extended code and examples, further enhancing the reader's understanding and application of the discussed topics. Whether you are a professional seeking to expand your knowledge or a student embarking on a journey into computer science, this book is an invaluable resource that will help you gain a deeper understanding of the complex world of algorithms.
This book tackles a complex topic in a concise and accessible manner, making it accessible to readers who may initially feel overwhelmed by its complexity. The author, with over 40 years of teaching and industry experience, has leveraged their expertise to create a comprehensive guide that provides a solid foundation for understanding the subject matter.
Additionally, the book includes an appendix that offers extended code and examples, further enhancing the reader's understanding and application of the discussed topics. Whether you are a professional seeking to expand your knowledge or a student embarking on a journey into computer science, this book is an invaluable resource that will help you gain a deeper understanding of the complex world of algorithms.
Weight: 134g
Dimension: 139 x 216 x 12 (mm)
ISBN-13: 9781032417585
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