- We will send in 10–14 business days.
/images/books/2818828/9780128146231.jpg)
- Author: Steven Simske
- Publisher: Morgan Kaufmann Publishers
- ISBN-10: 0128146230
- ISBN-13: 9780128146231
- Format: 19.1 x 23.5 x 1.8 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.
Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.10:17:19
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Steven Simske
- Publisher: Morgan Kaufmann Publishers
- ISBN-10: 0128146230
- ISBN-13: 9780128146231
- Format: 19.1 x 23.5 x 1.8 cm, minkšti viršeliai
- Language: English English
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.
Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.
Reviews