Global Certificate in ML for Journalism: Data-Driven
-- ViewingNowThe Global Certificate in ML for Journalism: Data-Driven course is a comprehensive program designed to empower journalists with machine learning (ML) skills to thrive in the modern data-driven era. This course highlights the growing importance of ML in journalism, addressing industry demand for data-driven storytelling and analytical skills.
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โข Machine Learning Fundamentals: Introduction to ML, Types of ML, Supervised and Unsupervised Learning, Regression, Classification, Clustering
โข Data Preprocessing: Data Cleaning, Data Wrangling, Data Normalization, Dimensionality Reduction, Feature Selection
โข Python Programming: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
โข Natural Language Processing: Text Preprocessing, Tokenization, Stop Words Removal, Stemming, Lemmatization, Named Entity Recognition
โข Data Journalism: Data Visualization, Interactive Storytelling, Data Ethics, Data Security
โข Machine Learning Applications in Journalism: Predictive Analytics, Sentiment Analysis, Fact Checking, Automated Content Generation
โข Evaluation Metrics: Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC, Cross-Validation
โข Machine Learning Project Management: Data Collection, Data Storage, Model Selection, Model Training, Model Evaluation, Model Deployment
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