Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.Please visit the book companion website.It containsPowerpoint slides for Chapters 1 12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the bookOnline Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the bookTable of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projectsPresents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsIncludes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks in an easy to use interactive interfaceIncludes open access online courses that introduce practical applications of the material in the book.
Details e-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
🗸 Author(s): Ian H. Witten
🗸 Title: Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
🗸 Rating : 4.2 from 5 stars (105 reviews)
🗸 ISBN-10: 0128042915
🗸 ISBN-13: 9780128042915
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle
✓ Read as many eBooks you want!
✓ Secure Scanned. No Virus Detected
✓ Thousands of eBooks to choose from - Hottest new releases
✓ Click it and Read it! - no waiting to read eBooks, it's instant!
✓ Keep reading your favorite eBooks over and over!
✓ It works anywhere in the world!
✓ No late fees or fixed contracts - cancel anytime!
Readers' opinions about Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten
Harlee Charles
This comprehensive guide to healthy living offers practical advice and science-backed tips for achieving optimal health and wellness. From diet and exercise to stress management and sleep hygiene, the author covers all the essential aspects of a balanced lifestyle. With its easy-to-follow recommendations and actionable strategies, this book is a valuable resource for anyone looking to improve their overall well-being.
Ethelda Dixon
Delve into the pages of this thought-provoking philosophical treatise, where the author grapples with some of life's most profound questions. From the nature of existence to the meaning of morality, each chapter offers a fresh perspective on the human condition. With its rigorous logic and elegant prose, this book is sure to spark lively debate and introspection.
Rebecca Adams
Explore the depths of human emotion with this powerful collection of poetry, where words dance off the page and into the heart. From love and longing to despair and redemption, each poem offers a glimpse into the human experience in all its complexity. With its evocative imagery and lyrical prose, this book is a testament to the enduring power of poetry to move and inspire.
