Global Certificate in ML Equity Research Techniques
-- ViewingNowThe Global Certificate in ML Equity Research Techniques is a comprehensive course that empowers learners with the essential skills required to thrive in the demanding world of equity research. This course is crucial in today's data-driven industry, where machine learning (ML) techniques are revolutionizing the way equity research is conducted.
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โข Machine Learning Fundamentals: Introduction to ML, supervised and unsupervised learning, regression and classification algorithms, model evaluation
โข Data Preprocessing for ML: Data cleaning, feature selection, data normalization, handling missing data, data leakage
โข Feature Engineering for ML: Feature creation, interaction terms, dimensionality reduction, text feature extraction
โข Time Series Analysis: Time series components, stationarity, autocorrelation, seasonality, ARIMA models
โข Natural Language Processing (NLP) Techniques: Text preprocessing, sentiment analysis, topic modeling, word embeddings
โข Deep Learning for ML: Neural networks, convolutional neural networks, recurrent neural networks, long short-term memory
โข Ethics in ML: Bias and fairness, privacy and security, transparency and explainability, ethical considerations in ML applications
โข Deploying ML Models: Model deployment options, cloud-based solutions, containerization, version control
โข Evaluating ML Models for Equity Research: Model accuracy, precision, recall, F1 score, area under the ROC curve, backtesting
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