What is the primary focus of 'Data Mining: Practical Machine Learning Tools and Techniques'?

The book primarily focuses on the principles of data mining and practical machine learning techniques. It covers a range of methods including classification, regression, clustering, and association rules, providing both theoretical foundations and practical examples. By utilizing real-world use cases, it helps readers understand how to apply these techniques effectively in various industries, making it an essential resource for data scientists and analysts.

Who is the target audience for this book?

This book is targeted at students, professionals, and researchers in the fields of computer science, data science, and machine learning. It serves as a comprehensive guide for those looking to deepen their understanding of data mining techniques and their applications. Readers who work in sectors such as finance, healthcare, and marketing will find the insights particularly beneficial for real-world problem-solving in data-driven environments.

What new features are included in the 4th edition of this book?

The 4th edition features updated content that reflects the latest advancements in machine learning tools and techniques. With an emphasis on evolving analytics environments, it includes new chapters on deep learning, big data technologies, and more practical software tools. Such enhancements ensure readers can leverage current technologies and methodologies, making the insights applicable to modern industry challenges.

How does this book compare to other data mining and machine learning texts?

This book stands out due to its practical orientation and hands-on approach. While many texts tend to focus primarily on theory, this book integrates real data mining problems with software applications, making the learning process more relevant and practical. Readers gain experience not just in understanding concepts but also in implementing them, which is crucial for effective data analysis in professional settings.

What kind of programming skills do I need to effectively use the tools discussed in this book?

While prior programming experience can enhance your understanding, the book is written to accommodate various skill levels. It introduces necessary programming concepts that can be applied using popular tools like Python and R. Beginners will benefit from clear explanations, while more experienced users can dive deeper into advanced techniques and programming applications to solve complex data challenges.

Can the techniques in this book be applied to large datasets?

Yes, the techniques outlined in the book are designed to be applicable to large datasets, making them suitable for big data analytics. The principles of scalability are discussed thoroughly, and techniques such as sampling and distributed computing are covered to help readers work with extensive data efficiently. These strategies are particularly valuable for professionals dealing with growing data volumes in industries like finance and e-commerce.

Are there any online resources or support available for readers of this book?

Yes, accompanying resources may be available through the publisher, including supplementary datasets, code examples, and instructor materials. These resources can enhance the understanding of the topics discussed and provide practical tools for experimentation. Engaging in online forums or communities related to machine learning can also provide additional support and collaboration opportunities for readers.

Is this book suitable for self-study?

Absolutely, this book is well-suited for self-study thanks to its structured approach and detailed examples. Each chapter progressively builds upon the previous ones, allowing readers to learn at their own pace. The practical exercises and case studies encourage hands-on learning, making it an excellent choice for individuals looking to develop their skills independently in data mining and machine learning.

What prerequisites should I have before reading this book?

While the book is designed to cater to a range of skill levels, a basic understanding of statistics and familiarity with programming concepts will greatly enhance your learning experience. Additionally, knowledge of fundamental computer science principles can help in grasping more complex data mining techniques discussed within the text. This foundational knowledge prepares readers for practical application in real-world scenarios.

Data Mining: Practical Machine Learning Tools and est-il disponible pour effectuer des achats en ligne à Réunion ?

Oui, chez Ubuy Réunion, ce produit est disponible pour vous à un prix raisonnable.. Le Data Mining: Practical Machine Learning Tools and n'est pas disponible localement mais vous pouvez nous faire confiance avec nos services d'expédition express.

Combien de temps faut-il pour obtenir le produit après avoir passé la commande ?

Le délai de livraison de votre produit commandé varie en fonction de ce que vous avez commandé et de la méthode d'expédition que vous avez choisie.. Le délai de livraison estimé est mentionné lors du processus de commande, alors soyez insouciant lors de vos achats.

Voir l'original

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition... 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.

Numéro d'article: 4574364

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition

Q: Where can I buy 'Data Mining: Practical Machine Learning Tools and Techniques Morgan Kaufmann Series in Data Management Systems 4th Edition' in Réunion?

You can buy 'Data Mining: Practical Machine Learning Tools and Techniques Morgan Kaufmann Series in Data Management Systems 4th Edition' from Ubuy. Ubuy is a versatile online shopping platform that offers a wide range of books, making it convenient for customers in Réunion to order and access this essential resource on data mining and machine learning.

88% des répondants recommanderaient ceci à un ami

Numéro d'article: 4574364

€ 47

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

^{*Tous les articles seront importés depuis États-Unis}

Disponibilité : En stock

Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Samedi, Octobre 17

Transaction sécurisée

Nos meilleurs partenaires logistiques

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition... 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.

Garantie U-Care :

Aucun

Sélectionnez un forfait

Livraison
rapide

Retour
gratuit^*

Emballage sécurisé

Produits 100 % originaux

Conformité PCI DSS

Certifié ISO 27001

Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Comprehensive Coverage

This edition offers extensive insights into data mining techniques, making it perfect for both beginners and advanced practitioners looking to harness machine learning tools effectively.

Real-World Applications

The book provides practical examples and case studies, addressing real-world problems and demonstrating how data mining can be applied to various industries.

Expert Contributions

Authored by leading experts, it combines theoretical knowledge with practical savvy, ensuring readers gain a deep understanding of machine learning's best practices.

Détails du produit

Thorough grounding in machine learning concepts and practical advice for real world data mining
Extensive updates reflecting modernizations and new chapters on probabilistic methods and deep learning
Accompanied by a new version of the popular WEKA machine learning software from the University of Waikato
Comprehensive teaching resource with Powerpoint slides, online appendix, and table of contents on book companion website
Concrete tips and techniques for performance improvement in machine learning methods
Includes downloadable WEKA software toolkit, open access online courses, and reviews of the 1st edition

Publisher	Morgan Kaufmann
Publication date	December 1, 2016
Edition	4th
Language	English
Print length	654 pages
ISBN-10	0128042915
ISBN-13	978-0128042915
Item Weight	2.31 pounds (1.05 kg)
Dimensions	7.5 x 1.48 x 9.25 inches (19.1 x 3.8 x 23.5 cm)
Part of series	The Morgan Kaufmann Series in Data Management Systems

À qui est-ce destiné ?

Data Scientists
Ideal for data scientists looking for comprehensive insights and practical tools to implement machine learning algorithms.
Academic Researchers
Suitable for researchers needing a solid resource for understanding data mining methods and practical applications in studies.
Students
Beneficial for university students in data science or related fields, providing clear explanations and relevant machine learning techniques.

Complete Beginners
Not suitable for those with no prior knowledge of data mining or machine learning concepts and terminologies.

DESCRIPTION DU PRODUIT

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

question: Comment acheter Data Mining: Practical Machine Learning Tools and en ligne sur Ubuy ?

répondre: Il est facile d'acheter Data Mining: Practical Machine Learning Tools and en ligne sur Ubuy.. Il vous suffit de rechercher le produit, de choisir votre mode d'expédition lors du paiement et de le faire livrer à votre emplacement.
question: Data Mining: Practical Machine Learning Tools and est-il disponible pour effectuer des achats en ligne à Réunion ?

répondre: Oui, chez Ubuy Réunion, ce produit est disponible pour vous à un prix raisonnable.. Le Data Mining: Practical Machine Learning Tools and n'est pas disponible localement mais vous pouvez nous faire confiance avec nos services d'expédition express.
question: Combien de temps faut-il pour obtenir le produit après avoir passé la commande ?

répondre: Le délai de livraison de votre produit commandé varie en fonction de ce que vous avez commandé et de la méthode d'expédition que vous avez choisie.. Le délai de livraison estimé est mentionné lors du processus de commande, alors soyez insouciant lors de vos achats.

Intelligence & Semantics Editorial Review

The book "Data Mining: Practical Machine Learning Tools and Techniques" by Ian H. Witten, Eibe Frank, and Mark A. Hall is a comprehensive guide that includes practical descriptions and examples for most machine learning methods and algorithms. It is an easy-to-read book that provides a good introduction to machine learning for beginners, although it has some issues that may limit its usefulness. One of the main problems is that the language used in the book is very esoteric, making it difficult to follow for those who are not familiar with the terminology. Additionally, the book's structure is somewhat confusing and disorganized, making it hard to gain in-depth knowledge of any particular method. Customers have reported dissatisfaction with the software Weka, which is used in the book, stating that it is not ideal for big data and has a poorly designed user interface that accepts minimal hyperparameters. The GUI interface may start to glitch, rendering the screen choppy. The book's author, Ian Witten, also received criticism from some customers for being cryptic and unhelpful in his Youtube videos.

Avis et évaluations clients

5.0

1 évaluations des clients

5 étoile

100%
4 étoile

0%
3 étoile

0%
2 étoile

0%
1 étoile

0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

Comprehensive guide that includes practical descriptions and examples for most machine learning methods and algorithms
Easy to understand and read

Les inconvénients

Language used in the book is very esoteric, making it difficult to follow for those who are not familiar with the terminology

Historique des prix du produit

Informations importantes

Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

€ 47

Commandez maintenant et recevez votre commande aux alentours du Samedi, Octobre 17

QTY:

Transaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques

Livraison transfrontalière la plus rapide

Caractéristiques et avantages

The book provides a thorough grounding in machine learning concepts and practical advice.
Concrete tips and techniques improve machine learning methods.
WEKA software toolkit can be downloaded.
Open access online courses are available.
Comprehensive teaching resources for the book available on the companion website.

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition

€ 47

Livraison rapide

Retour gratuit*

Emballage sécurisé

Produits 100 % originaux

Conformité PCI DSS

Certifié ISO 27001

Ce qui se démarque

Détails du produit

À qui est-ce destiné ?

DESCRIPTION DU PRODUIT

Questions et réponses des clients

Intelligence & Semantics Editorial Review

Avis et évaluations clients

Donnez votre avis sur ce produit

Avantages

Les inconvénients

Historique des prix du produit

Informations importantes

€ 47

Caractéristiques et avantages

Assurance Ubuy

Livraison
rapide

Retour
gratuit^*