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Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten
€ 70.86
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Description for Data Mining: Practical Machine Learning Tools and Techniques
Paperback. Num Pages: 654 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 192 x 235 x 35. Weight in Grams: 1302.
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 ... Read more
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 ... Read more
Product Details
Publisher
Elsevier Science & Technology
Format
Paperback
Publication date
2016
Condition
New
Weight
1302g
Number of Pages
654
Place of Publication
San Francisco, United States
ISBN
9780128042915
SKU
V9780128042915
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Ian H. Witten
Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University ... Read more
Reviews for Data Mining: Practical Machine Learning Tools and Techniques
...this volume is the most accessible introduction to data mining to appear in recent years. It is worthy of a fourth edition.
Computing Reviews
Computing Reviews