Computational Creativity
Machine learning is the field of computer science which teaches machines to detect different patterns and to adapt to new circumstances. Machine Learning can be both experience and explanation based learning. In the field of robotics machine learning plays a vital role, it helps in taking an optimized decision for the machine which eventually increases the efficiency of the machine and more organized way of preforming a particular task. It is employed in a range of computing tasks where designing and programming with good performance is difficult or infeasible for example email filtering, network detection or malicious insiders working towards a data breach optical character recognition (OCR) and computer vision.
Data mining is an extraction process of useful patterns and information from huge data. It is also called as knowledge discovery process, knowledge mining from data, knowledge extraction or data /pattern analysis. It is a logical process that is used to search through large amount of data in order to find useful data. The goal of this technique is to find patterns that were previously unknown.
- Machine Learning And Data Mining
- Clustering And Predictive Modeling
- Parametric and Non-parametric Machine Learning Algorithms
Related Conference of Computational Creativity
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
Computational Creativity Conference Speakers
Recommended Sessions
- Ambient Intelligence
- Artificial Intelligence
- Artificial Neural Networks
- Autonomous Robots
- Backpropagation
- Bioinformatics
- Cloud Computing
- Cognitive Computing
- Computational Creativity
- Deep Learning
- Entrepreneurs Investment Meet
- Natural Language Processing
- Parallel Processing
- Perceptrons
- Self-Organizing Neural Networks
- Support Vector Machines
- Ubiquitous Computing