Lote
machine learning course
stanford machine learning course (half course + summary)
[Mostrar más]stanford machine learning course (half course + summary)
[Mostrar más]Supervised learning 
Linear Regression 
1 LMS algorithm 
 
2 The normal equations 
2.1 Matrix derivatives 
3 Probabilistic interpretation 
and more
Vista previa 3 fuera de 28 páginas
Añadir al carritoSupervised learning 
Linear Regression 
1 LMS algorithm 
 
2 The normal equations 
2.1 Matrix derivatives 
3 Probabilistic interpretation 
and more
Perception 
Exponential Family Generalized Linear Models 
Soft max Regression Multiclass Classification
Vista previa 2 fuera de 8 páginas
Añadir al carritoPerception 
Exponential Family Generalized Linear Models 
Soft max Regression Multiclass Classification
Contents 
1 Basic Concepts and Notation 2 
1.1 Basic Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 
2 Matrix Multiplication 3 
2.1 Vector-Vector Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 
2.2 Matrix-Vector Products . . . . . . . . . . . ....
Vista previa 4 fuera de 94 páginas
Añadir al carritoContents 
1 Basic Concepts and Notation 2 
1.1 Basic Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 
2 Matrix Multiplication 3 
2.1 Vector-Vector Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 
2.2 Matrix-Vector Products . . . . . . . . . . . ....
Outline 
1 Basic Concepts and Notation 
2 Matrix Multiplication 
3 Operations and Properties 
4 Matrix Calculus
Vista previa 3 fuera de 29 páginas
Añadir al carritoOutline 
1 Basic Concepts and Notation 
2 Matrix Multiplication 
3 Operations and Properties 
4 Matrix Calculus
Generative Learning algorithms 
Gaussian discriminant analysis. 
Naive Bayes. 
Laplace Smoothing.
Vista previa 2 fuera de 14 páginas
Añadir al carritoGenerative Learning algorithms 
Gaussian discriminant analysis. 
Naive Bayes. 
Laplace Smoothing.
Gaussian discriminant analysis & it is model 
Naive Bayes.
Vista previa 2 fuera de 6 páginas
Añadir al carritoGaussian discriminant analysis & it is model 
Naive Bayes.
Outline 
Naive Bayes 
Laplacesmoothing 
Event Models 
Kernel Methods
Vista previa 2 fuera de 7 páginas
Añadir al carritoOutline 
Naive Bayes 
Laplacesmoothing 
Event Models 
Kernel Methods
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 probabili...
Vista previa 2 fuera de 12 páginas
Añadir al carritoProbability 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 probabili...
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
Vista previa 2 fuera de 10 páginas
Añadir al carritoa 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
1 Definition 
2 Gaussian facts 
3 Closure properties 
4 Summary 
5 Exercise
Vista previa 2 fuera de 11 páginas
Añadir al carrito1 Definition 
2 Gaussian facts 
3 Closure properties 
4 Summary 
5 Exercise
Outline 
1 Basics 
2 Random Variables 
3 Expectation-Variance 
4 Joint Distributions 
5 Covariance 
6 RV Conditionals 
7 Random Vectors 
8 Multivariate Gaussian
Vista previa 4 fuera de 100 páginas
Añadir al carritoOutline 
1 Basics 
2 Random Variables 
3 Expectation-Variance 
4 Joint Distributions 
5 Covariance 
6 RV Conditionals 
7 Random Vectors 
8 Multivariate Gaussian
Vista previa 3 fuera de 30 páginas
Añadir al carritoKernels. SVM.
Vista previa 2 fuera de 8 páginas
Añadir al carritosummary of Kernel Methods 
SVMs
Deep Learning 
Supervised Learning with Non-linear Models 
Neural Networks 
Backpropagation 
Vectorization Over Training Examples
Vista previa 3 fuera de 21 páginas
Añadir al carritoDeep Learning 
Supervised Learning with Non-linear Models 
Neural Networks 
Backpropagation 
Vectorization Over Training Examples
Deep Learning 
Supervised learning with non linear models 
Logistic Regression 
Neural Networks 
computational power 
data available 
algorithms 
Propagation equation
Vista previa 2 fuera de 6 páginas
Añadir al carritoDeep Learning 
Supervised learning with non linear models 
Logistic Regression 
Neural Networks 
computational power 
data available 
algorithms 
Propagation equation
Text editor/IDE options.. (don’t settle with notepad) 
• PyCharm (IDE) 
• Visual Studio Code (IDE) 
• Sublime Text (IDE) 
• Atom 
• Notepad ++/gedit 
• Vim (for Linux)
Vista previa 4 fuera de 39 páginas
Añadir al carritoText editor/IDE options.. (don’t settle with notepad) 
• PyCharm (IDE) 
• Visual Studio Code (IDE) 
• Sublime Text (IDE) 
• Atom 
• Notepad ++/gedit 
• Vim (for Linux)
Compradores de Stuvia evaluaron más de 700.000 resúmenes. Así estas seguro que compras los mejores documentos!
Puedes pagar rápidamente y en una vez con iDeal, tarjeta de crédito o con tu crédito de Stuvia. Sin tener que hacerte miembro.
Tus compañeros escriben los resúmenes. Por eso tienes la seguridad que tienes un resumen actual y confiable. Así llegas a la conclusión rapidamente!
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Nuestra garantía de satisfacción le asegura que siempre encontrará un documento de estudio a tu medida. Tu rellenas un formulario y nuestro equipo de atención al cliente se encarga del resto.
Stuvia is a marketplace, so you are not buying this document from us, but from seller faisalsardar1. Stuvia facilitates payment to the seller.
No, you only buy this summary for $25.49. You're not tied to anything after your purchase.
4.6 stars on Google & Trustpilot (+1000 reviews)
45,681 summaries were sold in the last 30 days
Founded in 2010, the go-to place to buy summaries for 14 years now