دانلود کتاب روش‌های رقابتی داده‌کاوی، روش‌ها و موارد

This book aims to provide readers with a clear implementation process for data mining competition solutions and explain the key details within. In addition to providing the necessary theoretical knowledge, it also offers plug-and-play code. By reading this book, readers will understand how to design a solution for a data mining competition, clarify various details and specific implementation methods within the solution, and learn how to continuously refine and optimize the solution. The book also provides specific practical cases to help readers master and strengthen the aforementioned content. Data mining competitions offer datasets that are close to real-world scenarios, making this book a great choice for those who wish to learn data mining techniques through practical experience. At the same time, this book can also serve as a reference book, providing various methods and techniques for different scenarios (including structured data, natural language processing, computer vision, video understanding, and reinforce-ment learning) from data input to obtaining final results. These practical methods and techniques can help readers achieve significant improvements in their datasets, and they can be used not only in data mining competitions but also in research and actual business applications.