Postgraduate Certificate in Machine Learning Principals
-- ViewingNowThe Postgraduate Certificate in Machine Learning Principals is a comprehensive course designed to provide learners with essential skills in machine learning. This course covers key concepts such as data manipulation, statistical analysis, and predictive modeling.
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⢠Fundamentals of Machine Learning: Introduction to machine learning principles, algorithms, and applications. Understanding of various learning paradigms, including supervised, unsupervised, and reinforcement learning.
⢠Probability and Statistics: Review of probability theory and statistics, including conditional probability, Bayes' theorem, hypothesis testing, and regression analysis.
⢠Linear Algebra and Optimization: Mathematical foundations of machine learning, including linear algebra, vector calculus, and optimization techniques.
⢠Deep Learning: Overview of deep learning models, including neural networks, convolutional neural networks, and recurrent neural networks. Hands-on experience with popular deep learning frameworks.
⢠Natural Language Processing: Introduction to natural language processing, including text preprocessing, language modeling, and sentiment analysis.
⢠Reinforcement Learning: Study of reinforcement learning, including Markov decision processes, Q-learning, and policy gradients.
⢠Computer Vision: Overview of computer vision techniques, including image classification, object detection, and semantic segmentation.
⢠Ethics and Bias in Machine Learning: Analysis of ethical considerations and potential biases in machine learning algorithms and applications.
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