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Machine learning, one of the top emerging sciences, has an
extremely broad range of applications. However, many books on the
subject provide only a theoretical approach, making it difficult
for a newcomer to grasp the subject material. This book provides a
more practical approach by explaining the concepts of machine
learning algorithms and describing the areas of application for
each algorithm, using simple practical examples to demonstrate each
algorithm and showing how different issues related to these
algorithms are applied.
Machine learning, one of the top emerging sciences, has an
extremely broad range of applications. However, many books on the
subject provide only a theoretical approach, making it difficult
for a newcomer to grasp the subject material. This book provides a
more practical approach by explaining the concepts of machine
learning algorithms and describing the areas of application for
each algorithm, using simple practical examples to demonstrate each
algorithm and showing how different issues related to these
algorithms are applied.
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