Petanux - Intelligence Meets Innovation

Course Content
INTRODUCING MACHINE LEARNING AND 2 METHODS OF SUPERVISED LEARNING
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Introduction of Machine Learning
PRESENTING ML OBSTACLES AND DIFFERENT WAYS OF ADDRESSING THEM
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Problem of over/undertraining
PRESENTING NEURAL NETWORKS AND THEIR LEARNING METHODS
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Neural Networks
PRESENTING KERNEL METHODS
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Kernel Methods
INTRODUCES UNSUPERVISED LEARNING, ITS DIFFERENT ALGORITHMS, AND ITS PERFORMANCE EVALUATION
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Unsupervised Learning
PRESENTING COMPUTATIONAL LEARNING THEORY AND MODEL EVALUATION METHODS
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Model Evaluation
Fundamental Machine Learning
About Lesson

Maximum Margin Classifiers
Support Vector Machines (SVM)
Lab 2/ Implementing SVM

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