Undergraduate Certificate in Machine Learning Outcomes
-- ViewingNowThe Undergraduate Certificate in Machine Learning is a vital course designed to equip learners with essential skills in machine learning. This certificate program focuses on teaching the fundamental concepts, algorithms, and applications of machine learning, enabling students to build intelligent systems and make data-driven decisions.
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โข Introduction to Machine Learning: Overview of machine learning concepts, algorithms, and applications.
โข Statistical Foundations: Probability, statistical inference, and distributions.
โข Data Preprocessing: Data cleaning, feature engineering, and data normalization.
โข Supervised Learning: Linear regression, logistic regression, support vector machines, and ensemble methods.
โข Unsupervised Learning: Clustering, dimensionality reduction, and anomaly detection.
โข Neural Networks: Multi-layer perceptrons, convolutional neural networks, and recurrent neural networks.
โข Deep Learning: Convolutional neural networks, recurrent neural networks, and long short-term memory.
โข Reinforcement Learning: Markov decision processes, Q-learning, and policy gradients.
โข Evaluation Metrics: Confusion matrix, ROC curves, precision, recall, and F1 score.
โข Ethics in Machine Learning: Bias, fairness, and privacy in machine learning models.
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