Название: Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
Автор: M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi
Издательство: De Gruyter
Год: 2023
Страниц: 214
Язык: английский
Формат: pdf (true), epub
Размер: 85.9 MB
Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing (NLP). The integration of Deep Learning (DL) improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights. The area of Artificial Intelligence (AI) is the study of how machines execute the tasks which could be completed with the help of human brilliance or intelligence. AI is an advanced area of computing technology that enables a computer or a machine’s critical thinking ability as an intelligent person’s brain. AI can be defined as a collective study of the processes by which the human brain reads the problem, gets knowledge on problems, finds the ways to solve the problems, takes decisions to find the best way, and executes the tasks to achieve the solution. AI’s major goal is to improve computing’s functions to the level of a human brain by adding activities like thinking, learning, and problem solving. The intelligence is difficult to describe or measure and it is capable of doing the functions like reasoning, learning, problem solving, perception, and linguistic intelligence. Machine Learning makes use of various methods from science and statistical studies such as artificial neural networks, physics, numerical data analysis, and analytical study of problem-solving and decision-making to understand concealed facts in data without any explicit instruction where to search or what to deal.