EAN: 9789811085680

ADVANCES IN MACHINE LEARNING AND DATA SCIENCE K...

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. Data science is an
umbrella term to be used for techniques that clean data and extract useful information from
data. In field of data science  machine learning algorithms are used frequently to identify
valuable knowledge from commercial databases containing records of different industries 
financial transactions  medical records  etc. The main objective of this book is to provide an
overview on latest advancements in the field of machine learning and data science  with
solutions to problems in field of image  video  data and graph processing  pattern recognition
data structuring  data clustering  pattern mining  association rule based approaches  feature
extraction techniques  neural networks  bio inspired learning and various machine learning
algorithms.

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