- We will send in 10–14 business days.
/images/books/10826584/9781522557937.jpg)
- Publisher: Engineering Science Reference
- ISBN-10: 1522557938
- ISBN-13: 9781522557937
- Format: 17.8 x 25.4 x 1.9 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Emerging Trends and Applications in Cognitive Computing (e-book) (used book) | bookbook.eu
Reviews
Description
Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.23:49:33
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Engineering Science Reference
- ISBN-10: 1522557938
- ISBN-13: 9781522557937
- Format: 17.8 x 25.4 x 1.9 cm, hardcover
- Language: English English
Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
Reviews