About Lesson
Maximum Margin Classifiers
Support Vector Machines (SVM)
Lab 2/ Implementing SVM
INTRODUCING MACHINE LEARNING AND 2 METHODS OF SUPERVISED LEARNING
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PRESENTING ML OBSTACLES AND DIFFERENT WAYS OF ADDRESSING THEM
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PRESENTING NEURAL NETWORKS AND THEIR LEARNING METHODS
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PRESENTING KERNEL METHODS
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INTRODUCES UNSUPERVISED LEARNING, ITS DIFFERENT ALGORITHMS, AND ITS PERFORMANCE EVALUATION
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PRESENTING COMPUTATIONAL LEARNING THEORY AND MODEL EVALUATION METHODS
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