machine learning ml
Stanford University
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Notas de lectura
The Multivariate Gaussian Distribution
a multivariate normal (or Gaussian) distribution 1 Relationship to univariate Gaussians 2 The covariance matrix 3 The diagonal covariance matrix case 4 Isocontours 5 Linear transformation interpretation
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Notas de lectura
Gaussian discriminant analysis. Naive Bayes.Laplace Smoothing.
PopularGenerative Learning algorithms Gaussian discriminant analysis. Naive Bayes. Laplace Smoothing.
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Lote
machine learning course
stanford machine learning course (half course + summary)
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Presentación
Python/Numpy Tutorial.
Text editor/IDE options.. (don’t settle with notepad) • PyCharm (IDE) • Visual Studio Code (IDE) • Sublime Text (IDE) • Atom • Notepad ++/gedit • Vim (for Linux)
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Resumen
Neural Networks
Deep Learning Supervised learning with non linear models Logistic Regression Neural Networks computational power data available algorithms Propagation equation
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Notas de lectura
Neural Networks
Deep Learning Supervised Learning with Non-linear Models Neural Networks Backpropagation Vectorization Over Training Examples
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Resumen
Kernels, SVM.
summary of Kernel Methods SVMs
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Notas de lectura
Kernel Methods
Kernels. SVM.
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Presentación
Probability Theory
Outline 1 Basics 2 Random Variables 3 Expectation-Variance 4 Joint Distributions 5 Covariance 6 RV Conditionals 7 Random Vectors 8 Multivariate Gaussian
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Notas de lectura
More on Multivariate Gaussians
1 Definition 2 Gaussian facts 3 Closure properties 4 Summary 5 Exercise
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Notas de lectura
Probability Theory Review
Probability theory is the study of uncertainty. Through this class, we will be relying on concepts from probability theory for deriving machine learning algorithms. These notes attempt to cover the basics of probability theory at a level appropriate for CS 229. The mathematical theory of probability is very sophisticated, and delves into a branch of analysis known as measure theory. In these notes, we provide a basic treatment of probability that does not address these finer details. 1 Elem...
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Resumen
Naive Bayes, Laplace Smoothing summary
Outline Naive Bayes Laplacesmoothing Event Models Kernel Methods
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Resumen
Gaussian discriminant analysis. Naive Bayes.
Gaussian discriminant analysis & it is model Naive Bayes.
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