Data processing with artificial intelligence algorithms in the Internet of Things system. Educational guide
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Recently, the explosive growth in the number of sensors, the internet, and the generation of huge volumes of data has provided new opportunities for storing, executing, and implementing applications based on IoT and artificial intelligence algorithms. The textbook covers such key topics in artificial intelligence as a brief history of AI development, concepts of machine learning, classes of solved problems, ensemble methods, deep learning, quality metrics, and other basic directions. The second part of the textbook presents examples of a program in the interactive Jupyter Notebook environment using the Python language, implementing artificial intelligence algorithms. The textbook includes program code for basic artificial intelligence tasks such as classification, regression, data normalization and scaling, recognition, forecasting, and others. The textbook can also be useful for graduate students, university professors, and professionals applying artificial intelligence methods in their professional activities.
Author:
Author:Kolmogorova Svetlana Sergeevna
Cover:
Cover:soft
Category:
- Category:Computer & Technology
- Category:Education & Teaching
Dimensions:
Dimensions:23.5x16.5x.5 cm
Series:
Series:Computers and Software
ISBN:
ISBN:978-5-507-46186-8
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