What will I Learn?
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Find out how machine Learning is applied in different fields
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Introduction to Data Science for Machine Learning
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Decision trees
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Supervised learning
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Unsupervised learning
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Deep learning
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Convolution Neural Networks
Requirements
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Probability and Statistics
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Data Modeling & Evaluation
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Machine Learning Algorithms
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Distributed Computing
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Advanced Signal Processing Techniques.
Description
It is a key to develop intelligent systems and analyze data in science and engineering.
It covers theoretical foundations as well as essential algorithms for supervised and unsupervised learning.
