Certificate in Machine Learning Essentials for Professionals
-- ViewingNowThe Certificate in Machine Learning Essentials for Professionals is a comprehensive course designed to empower learners with fundamental machine learning concepts and techniques. In today's data-driven world, this course is of paramount importance as it provides professionals with the essential skills to leverage machine learning algorithms and make data-backed decisions.
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⢠Introduction to Machine Learning: Understanding the basics of machine learning, its types, and applications.
⢠Data Preprocessing: Data cleaning, normalization, and transformation techniques.
⢠Supervised Learning: Regression and classification algorithms, including linear regression, logistic regression, and support vector machines.
⢠Unsupervised Learning: Clustering and dimensionality reduction algorithms, such as k-means clustering and principal component analysis.
⢠Neural Networks: Introduction to artificial neural networks, including perceptrons, multilayer perceptrons, and backpropagation.
⢠Deep Learning: Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for image and sequence data.
⢠Evaluation Metrics: Understanding loss functions, accuracy, precision, recall, F1 score, ROC curves, and AUC.
⢠Ensemble Methods: Techniques like bagging, boosting, and stacking, along with Random Forests and Gradient Boosting.
⢠Feature Engineering: Creating new features to improve model performance.
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