Executive Development Programme in ML Implementation: Essentials
-- ViewingNowThe Executive Development Programme in ML Implementation: Essentials certificate course is a comprehensive program designed to meet the growing industry demand for machine learning (ML) expertise. This course emphasizes the practical aspects of ML implementation, empowering learners with essential skills to excel in their careers.
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⢠Introduction to Machine Learning (ML): Understanding the basics of ML, its types, and applications.
⢠Data Preprocessing: Data cleaning, feature selection, and data transformation techniques.
⢠Regression Analysis: Simple and multiple linear regression, polynomial regression, and logistic regression.
⢠Classification Algorithms: Decision trees, random forests, support vector machines, and k-nearest neighbors.
⢠Unsupervised Learning: Clustering, dimensionality reduction, and association rule mining.
⢠Neural Networks and Deep Learning: Perceptrons, multilayer perceptrons, convolutional neural networks, and recurrent neural networks.
⢠Evaluation Metrics: Accuracy, precision, recall, F1 score, ROC curve, and AUC.
⢠ML Implementation Best Practices: Version control, testing, debugging, and deployment.
⢠Ethics in ML: Bias, fairness, transparency, and privacy in ML models.
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