Enabling Machine Learning Applications in Data ScienceКНИГИ » ПРОГРАММИНГ
Название: Enabling Machine Learning Applications in Data Science Автор: Aboul Ella Hassanien, Ashraf Darwish Издательство: Springer Год: 2021 Страниц: 392 Язык: английский Формат: pdf (true) Размер: 15.6 MB
Today, it is all about the connected smarter world based on the new emerging technologies and Artificial Intelligence (AI) for sustainable development. Sustainable development purposes have been designed for meeting the human development goals while simultaneously sustaining the ability of natural resources in order to maintain the natural resources. AI and emerging technologies are currently used with many areas of applications in most sectors of the states. They can help humankind in achieving sustainability through technology for a more sustainable future for all.
This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and Artificial Intelligence (AI), and related technologies. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover Machine Learning applications in data science.
Recently, Artificial Intelligence (AI) has become a new solution of our future life, and it can already be integrated into some advanced equipment. 3D printing technology can also make full use of artificial intelligence technology. It is an innovative new technology. Now, people are adding new technologies like artificial intelligence to 3D printers. This combination of artificial intelligence and 3D printing will enable 3D printing technology to develop more rapidly.
Artificial Intelligence is a form of intelligence displayed by machines, sometimes called Machine Lntelligence (ML). This kind of machine can obtain information by itself and reasoning and analysis to draw conclusions (imitation of human learning thinking) in order to perform advanced tasks. AI machines simulate human intelligent behavior. The Artificial Intelligence automation process can be carried out autonomously in many different ways. The operation of the 3D printer itself is a relatively complicated process, and the addition of Artificial Intelligence can greatly help it to improve, thereby making this new technology operate more efficiently.
Currently, neural networks and Deep Learning (DL) affords different solutions to many problems in image recognition and many other domains. Simply, a neural network contains a chain of stacked layers. The first layer receives the data and then it proceeds the values to the last layer which presents the outputs. Each layer has many neurons. The number of neurons on the input layer depends on the amount of input data. And, the number of categories is represented by neurons of the output layer. The activation function has an essential role in the neural network generally and Deep Learning specially. A correct selection improves accuracy and speed of neural network. Therefore, many activation functions were produced to achieve better improvements.
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Enabling Machine Learning Applications in Data Science 
Название: Enabling Machine Learning Applications in Data Science
