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Syllabus: A friendly introduction to Deep Learning and Neural Networks. A friendly introduction to Convolutional Neural Networks and Image Recognition. A friendly introduction to Recurrent Neural Networks. A Friendly Introduction to Generative Adversaria…
Syllabus: Machine Learning: Testing and Error Metrics. A Friendly Introduction to Machine Learning. Deep Learning Nanodegree Program. How does Netflix recommend movies? Matrix Factorization. Linear Regression: A friendly introduction. Support Vector Mach…
Syllabus: A friendly introduction to Bayes Theorem and Hidden Markov Models. Shannon Entropy and Information Gain. Naive Bayes classifier: A friendly approach. The Beta distribution in 12 minutes!. Thompson sampling, one armed bandits, and the Beta distr…
Syllabus: A Friendly Introduction to Machine Learning. Machine Learning: Testing and Error Metrics. ROC (Receiver Operating Characteristic) Curve in 10 minutes!. Linear Regression: A friendly introduction. Logistic Regression and the Perceptron Algorithm…
Syllabus: Gaussian Mixture Models. Clustering: K-means and Hierarchical. Principal Component Analysis (PCA). How does Netflix recommend movies? Matrix Factorization. Latent Dirichlet Allocation (Part 1 of 2). Training Latent Dirichlet Allocation: Gibbs S…
Syllabus: Mini-curso de aprendizaje automatico - Nuevo link: https://www.youtube.com/watch?v=5nmwHyAudlQ. Aprendizaje automatico - Clasificacion y regresion - Nuevo link: www.youtube.com/watch?v=hkOZ2potocA. Redes neuronales y aprendizaje profundo - Nuev…
Syllabus: Latent Dirichlet Allocation (Part 1 of 2). Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2).
Syllabus: Linear Regression: A friendly introduction. Logistic Regression and the Perceptron Algorithm: A friendly introduction. Support Vector Machines (SVMs): A friendly introduction.
Syllabus: Denoising and Variational Autoencoders. A Friendly Introduction to Generative Adversarial Networks (GANs). Restricted Boltzmann Machines (RBM) - A friendly introduction.
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