Machine Learning (ML) has become a very important area of research
widely used in various industries.This compendium introduces the
basic concepts, fundamental theories, essential computational
techniques, codes, and applications related to ML models. With a
strong foundation, one can comfortably learn related topics,
methods, and algorithms. Most importantly, readers with strong
fundamentals can even develop innovative and more effective machine
models for his/her problems. The book is written to achieve this
goal.The useful reference text benefits professionals, academics,
researchers, graduate and undergraduate students in AI, ML and
neural networks.
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