Executive Development Programme SMED in Machine Learning
-- ViewingNowThe Executive Development Programme in Machine Learning (SMED) certificate course is a comprehensive program designed to equip learners with essential skills in machine learning. This course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.
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⢠Fundamentals of Machine Learning: Introduction to core concepts, algorithms, and techniques in machine learning. ⢠Supervised Learning: In-depth study of supervised learning methods, including regression and classification algorithms. ⢠Unsupervised Learning: Exploration of unsupervised learning techniques, such as clustering and dimensionality reduction. ⢠Reinforcement Learning: Overview of reinforcement learning, including value iteration, policy iteration, and deep reinforcement learning. ⢠Deep Learning: Study of deep learning models, such as convolutional neural networks, recurrent neural networks, and long short-term memory networks. ⢠Data Preprocessing and Feature Engineering: Techniques for data cleaning, feature scaling, and selection to improve model performance. ⢠Model Evaluation and Selection: Methods for evaluating and selecting the best machine learning model for a given problem. ⢠Hyperparameter Tuning and Model Optimization: Strategies for optimizing machine learning models through hyperparameter tuning and regularization techniques. ⢠Ethics and Bias in Machine Learning: Examination of ethical considerations and potential biases in machine learning models.
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