Graduate Certificate in Machine Learning Techniques.
-- ViewingNowThe Graduate Certificate in Machine Learning Techniques is a comprehensive course designed to empower learners with essential skills in machine learning and artificial intelligence. With the rapid growth of data-driven industries, there is an increasing demand for professionals who can leverage machine learning techniques to drive decision-making and innovation.
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โข Introduction to Machine Learning: Fundamentals of machine learning, different types of learning (supervised, unsupervised, reinforcement), model evaluation metrics
โข Mathematics for Machine Learning: Linear algebra, calculus, probability, and statistics
โข Data Preprocessing: Data cleaning, data wrangling, feature engineering, data normalization, and data transformation
โข Supervised Learning Algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks
โข Unsupervised Learning Algorithms: Clustering, dimensionality reduction, and anomaly detection
โข Ensemble Learning Techniques: Bagging, boosting, stacking, and cross-validation
โข Deep Learning: Convolutional neural networks, recurrent neural networks, and long short-term memory networks
โข Natural Language Processing: Text preprocessing, word embeddings, and sentiment analysis
โข Reinforcement Learning: Markov decision processes, Q-learning, and deep Q-networks
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