matrix factorization machine learning

, this book to the theory to the philosophical level, his other book "The Nature Ofstatistical Learning theory" is also a rare statistical study of good books, but these two books are relatively deep, Suitable for readers with a certain foundation. Fundamentals of Mathematics Matrix Analysis PDFRoger Horn. The undisputed classical matrix analysis field "Pr

these friends are connected to you ). From the above example, we can see that machine learning is actually a imitation of human intelligence and the only way to achieve human and higher intelligence. (What are these items ?) What does he have in general? (Difficult machine learning theory, mathematics) Part 1: underl

several days, and sometimes it's written in a circle, because can expand said place too much, write these content, I looked for some face questions to see, the theory part basically can cover, but involves the real application still need to take time to understand, the final parallel understanding is not thorough enough, Matrix multiplication I used the GPU to achieve, but did not touch a large number of data, and do not know where the real problem w

Reprint Please specify source: http://www.cnblogs.com/ymingjingr/p/4271742.htmlDirectory machine Learning Cornerstone Note When you can use machine learning (1) Machine learning Cornerstone Note 2--When you can use

that the learning model function hθ (x) is different, the gradient method specific solution process reference "machine learning classical algorithm detailed and Python implementation---logistic regression (LR) classifier".2,normal equation (also known as ordinary least squares)The normal equation algorithm is also called ordinary least squares (ordinary least sq

logistic regression, the difference is that the learning model function hθ (x) is different, the specific solution process of the gradient method is "the specific explanation of machine learning classical algorithm and the implementation of Python---logistic regression (LR) classifier".2,normal equation (also known as ordinary least squares)The normal equation a

PrefaceTonight I took a bean leaf in the knowledge of the hosted Live: machine learning with my academic routine.The purpose of my participation is that I want to know how the machine learning has a certain effect of peers, how to do the academic, how to learn the subject.Take part in this Live, come back to the conclu

solving the parameters can be accomplished by the optimization algorithm. In the optimization algorithm, the gradient ascending algorithm is the most common one, and the gradient ascending algorithm can be simplified to the random gradient ascending algorithm.2.2 SVM (supported vector machines) Support vectors machine:Advantages: The generalization error rate is low, the calculation cost is small, the result is easy to explain.Cons: Sensitive to parameter adjustment and kernel function selectio

, with dedicated file format, Apache 2 software licenseBioscalaBioinformatics libraries available in the-scala languageBidmach-Machine learning CPU and GPU acceleration LibraryData analysis/Data visualizationMLlibIn Apache Spark-spark Distributed machine Learning Libraryscalding-cascading's Scala interfaceSumming Bird-

data (such as which friends and you hit it off). From the above example, we can see that machine learning is actually the imitation of human intelligence, but also the way to achieve human and higher intelligence.(What's the goods?) What does he basically have?(rather difficult machine learning theory, math small whit

analysis, principal component analyses)4.1 Performance evaluationPros: Reduce the complexity of your data and identify the most important featuresCons: Not necessarily required, and may lose useful information4.2 PCA ImplementationThe pseudo-code that transforms the data into the first n principal components is as follows:Remove average (subtract the average of each dimension of the data)Computes the covariance matrix of the

[Ai refining] machine learning 051-bag of Vision Model + extreme random forest to build an image classifier (Python library and version number used in this article: Python 3.6, numpy 1.14, scikit-learn 0.19, matplotlib 2.2) Bag of visual words (bovw) comes from bag of words (BOW) in natural language processing, for more information, see my blog [ai refining] machine