Professional Certificate in Machine Learning in Maintenance
-- ViewingNowThe Professional Certificate in Machine Learning in Maintenance is a comprehensive course designed to equip learners with essential skills in machine learning and predictive maintenance. This program is critical for professionals seeking to advance their careers in industries heavily reliant on machinery and equipment, such as manufacturing, automotive, and oil & gas.
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⢠Introduction to Machine Learning in Maintenance: Fundamentals of machine learning, its applications in maintenance, and the benefits it brings to the table.
⢠Data Preparation for Machine Learning: Techniques for data cleaning, pre-processing, and transforming data into a format suitable for machine learning.
⢠Supervised Learning in Maintenance: Regression and classification algorithms, including linear regression, logistic regression, and support vector machines.
⢠Unsupervised Learning in Maintenance: Clustering and dimensionality reduction algorithms like k-means, hierarchical clustering, and principal component analysis.
⢠Deep Learning for Maintenance: Introduction to neural networks, convolutional neural networks, recurrent neural networks, and their application in predictive maintenance.
⢠Evaluation Metrics for Machine Learning: Understanding and evaluating model performance using metrics such as accuracy, precision, recall, F1 score, and ROC curves.
⢠Machine Learning Workflow and Tools: Setting up a machine learning project, including data splitting, model training, validation, and testing.
⢠Ethics and Bias in Machine Learning: Ensuring fairness and avoiding biases in machine learning models, as well as understanding ethical considerations in deploying machine learning models in maintenance.
⢠Machine Learning Deployment and Maintenance: Deploying and monitoring machine learning models in production, as well as maintaining and updating models as new data becomes available.
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