overview
with the current development of machine learning and artificial intelligence, artificial intelligence can explore forms and find meaning from bigdata sets without the interference of humans, machine learning turned the design problems into logical problems to be computed, there for, machine learning and artificial intelligence can be used to recognize the car model by giving it big data sets.
Theory
Using a simple deep learning network to classify images of cars, which is based on principal component analysis, that will be followed with a simple binary hashing to index, that is called principal component analysis network, this model had set new records to classification task, which will help to classification of car model.
Concepts / terms
Classification: is a process related to categorization, the process in which ideas and objects are recognized, differentiated and understood. Classification is the grouping of related facts into classes
Big data: refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source.
Machine learning: is a field of inquiry dedicated to understanding and building methods that \’learn\’, that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so
Artificial intelligence: is intelligence shown by machines, which is the opposite of the natural intelligence shown by animals and humans. Artificial intelligence has been defined as the field of study of intelligent, which refers to any system that perceives its setting and takes actions that exploit its chance of attaining its goals.
principal component analysis: a very known technique used for analysing big data sets which have a large number of dimensions or features, growing the interpretability of data while conserving the maximum amount of information, and allowing the visualization of multidimensional data.
Focus
The focus of the research will be modelling and understanding the principal component analysis, within the classification of car images to predict its model, the success of the research will reduce the reliance on human resources to identify the car model, which can be used in many instances such as identifying cars with fake number plate using number plate recognition and the issuing authority database of registered cars.
overview with the current development of machine learning and artificial intell
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