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Covers the analysis of respiratory figures and ECG heart rate data.
Introduction to Machine Learning: Linear Models
Introduces linear models for supervised learning, covering overfitting, regularization, and kernels, with applications in machine learning tasks.
Deep Learning: Convolutional Neural Networks
Introduces Convolutional Neural Networks, explaining their architecture, training process, and applications in semantic segmentation tasks.
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Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.
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