Undergraduate Certificate in Fundamentals of Machine Learning for Personal Learning
-- ViewingNowThe Undergraduate Certificate in Fundamentals of Machine Learning for Personal Learning is a comprehensive course that equips learners with essential skills in machine learning. This certificate program emphasizes the importance of machine learning in various industries, making it a valuable addition to any professional's skillset.
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โข Introduction to Machine Learning: Concepts and terminology, supervised vs unsupervised learning, regression vs classification problems
โข Mathematics for Machine Learning: Linear algebra, calculus, probability, and statistics fundamentals
โข Data Preprocessing: Data cleaning, normalization, feature scaling, feature engineering, and data splitting
โข Supervised Learning Algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, and naive Bayes classifiers
โข Unsupervised Learning Algorithms: K-means clustering, hierarchical clustering, principal component analysis, and singular value decomposition
โข Model Evaluation: Train-test split, cross-validation, confusion matrix, ROC curve, precision, recall, F1 score, and accuracy
โข Hyperparameter Tuning: Grid search, random search, and Bayesian optimization
โข Introduction to Deep Learning: Neural networks, activation functions, backpropagation, and convolutional neural networks
โข Ethics in Machine Learning: Bias, fairness, transparency, interpretability, and privacy in ML models
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