Название: Advances in Machine Learning and Data Science: Recent Achievements and Research Directives
Автор: Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K.
Издательство: Springer
Серия: Advances in Intelligent Systems and Computing (Book 705)
ISBN: 9811085684
Год: 2018
Страниц: 382
Язык: английский
Формат: True PDF
Размер: 14.2 MB
The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated.