Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) – eBook

Description

Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition (PDF) serves as an indispensable resource for those venturing into the dynamic world of machine learning and data mining. This highly anticipated 4th edition of a seminal text delves deeply into essential machine learning concepts while providing practical guidance on how to effectively implement these powerful tools and techniques in various real-world data mining scenarios.

This updated edition reflects the significant advancements and technical evolutions that have emerged in the field since the previous release. With comprehensive new chapters focused on probabilistic methods and deep learning, readers will gain insights into modern methodologies driving contemporary research. The book ensures that you are equipped with the foundational skills necessary to embark on your data mining journey—from data preparation and output interpretation to result evaluation and understanding the algorithmic strategies that underpin successful data mining initiatives.

Additionally, purchasers will benefit from the latest iteration of the acclaimed WEKA machine learning software developed by the University of Waikato, further enhancing the learning experience. Esteemed authors Frank, Witten, Hall, and Pal i seamlessly blend traditional techniques with cutting-edge methodologies, making this essential read suitable for both novices and experienced practitioners alike.

ISBNs: 978-0123748560, 978-0128042915

NOTE: This product exclusively contains the ebook, Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, in PDF format. Access codes are not included.