Global Certificate in ML: Actionable Knowledge
-- ViewingNowThe Global Certificate in Machine Learning: Actionable Knowledge is a comprehensive course designed to equip learners with essential ML skills for career advancement. This program covers key ML concepts, from data modeling to model evaluation, and provides hands-on experience with popular ML tools and frameworks.
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⢠Unit 1: Introduction to Machine Learning (ML) · Overview of ML, its applications, and potential impact on various industries.
⢠Unit 2: Data Preprocessing · Data cleaning, feature scaling, data normalization, and data transformation.
⢠Unit 3: Supervised Learning Algorithms · Linear regression, logistic regression, decision trees, random forests, and support vector machines (SVMs).
⢠Unit 4: Unsupervised Learning Algorithms · Clustering algorithms such as K-means, hierarchical clustering, and DBSCAN.
⢠Unit 5: Deep Learning · Artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks.
⢠Unit 6: Evaluation Metrics · Model accuracy, precision, recall, F1-score, ROC curves, and AUC metrics.
⢠Unit 7: Hyperparameter Tuning · Grid search, random search, and Bayesian optimization techniques.
⢠Unit 8: Model Interpretability · Feature importance analysis, SHAP values, and LIME.
⢠Unit 9: ML Ethics · Data privacy, fairness, and bias in ML models.
⢠Unit 10: ML Deployment · Containerization and cloud deployment using Docker and Kubernetes.
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