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Item #:
59940114
Applied Predictive Modeling, (Paperback)
98% of respondents would recommend this to a friend
Item #:
59940114
DKK 431
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Applied Predictive Modeling provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems.
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What Stands Out
Comprehensive Approach
Covers a wide range of predictive modeling techniques, offering readers an all-encompassing guide from basic concepts to advanced applications, ideal for both novices and experienced practitioners.
Practical Examples
Includes real-world case studies and hands-on exercises that enhance learning, allowing readers to apply concepts effectively and understand practical implications in various fields.
Expert Insights
Authored by leading experts in predictive modeling, providing credibility and invaluable insights that equip readers with the knowledge to tackle complex predictive challenges with confidence.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | March, 2019 |
| Pages | 600 |
| Subgenre | Probability & Statistics |
| Series title | No Series |
| Edition | softcover reprint of the original 1st 2013 Edition |
| Publisher | Springer New York |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 1.24 x 9.21 in (15.6 x 3.1 x 23.4 cm) |
| Assembled product weight | 1.87 lb (850 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those looking to develop skills in predictive modeling using real-world data applications and techniques.
-
Graduate Students
Great resource for students pursuing advanced studies in statistics, machine learning, and data analytics.
-
Industry Professionals
Beneficial for those in data analysis roles, seeking to enhance their practical understanding of predictive modeling.
-
Beginner Learners
May be too advanced for those without a foundational understanding of statistics and data analysis concepts.
Product Description
Applied Predictive Modeling, (Paperback)
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Max Kuhn All Books Editorial Review
Applied Predictive Modeling is a comprehensive paperback text that delves into the intricacies of statistical methodologies and practical applications in the field of predictive modeling. This non-fiction book, published by Springer New York in March 2019, spans 600 pages and is particularly valuable for those with a background in mathematics and statistics. Designed for general educational levels, it serves as a vital resource for understanding various aspects of probability and statistics. Readers have praised its clarity in presenting complex topics, making it a go-to guide for students and professionals alike seeking to enhance their predictive modeling skills.
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Pros
- In-depth coverage of predictive modeling techniques
- Suitable for both students and professionals
- Clear and concise explanations of complex concepts
- Well-structured with extensive examples
- Perfect binding for durability
Cons
- Some readers may find it dense and detailed
Product Price History
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DKK 431
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Features & Benefits
- Comprehensive guide to predictive modeling.
- Covers data preprocessing, splitting, and model tuning.
- Emphasizes real-world applications and problem-solving.
- Includes extensive R code for hands-on experience.
- Suitable for both beginners and advanced learners.
- Offers problem sets to reinforce learning.
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