Certificate in ML for Energy Professionals
-- ViewingNowThe Certificate in ML for Energy Professionals is a comprehensive course designed to equip energy professionals with essential machine learning (ML) skills. This program bridges the gap between ML and energy industries, providing insights into data-driven solutions for energy-related challenges.
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โข Introduction to Machine Learning: Fundamentals of ML, history, and use cases
โข Data Preprocessing for Energy Data: Data cleaning, transformation, and feature engineering
โข Supervised Learning Algorithms: Regression, decision trees, random forests, and support vector machines
โข Unsupervised Learning for Energy Applications: Clustering, dimensionality reduction, and anomaly detection
โข Deep Learning for Energy Predictions: Neural networks, convolutional neural networks, and recurrent neural networks
โข Time Series Analysis in Energy: ARIMA, SARIMA, LSTM, and Prophet models
โข Reinforcement Learning for Energy Optimization: Q-learning, deep Q-networks, and policy gradients
โข Evaluation Metrics for ML Models: Accuracy, precision, recall, F1 score, ROC curves, and MAE
โข Ethics and Bias in ML: Responsible AI, data bias, and ethical considerations in energy applications
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