statistics for machine learning udemy

attributed to a class that indicates whether the patient was infected with diabetes within 5 years, by the time the measurement was measured. If yes, then 1, or 0. The standard dataset has been studied several times in the machine learning literature, with a good prediction accuracy of 70%-76%. Here is a sample from the Pima-indians.data.csv file to find out what data we're going to use. Note: Download

components are 0.5 and 1 respectively) X = [0 0; 1 0; 0 2] D = Pdist (X, ' Seuclidean ', [0.5,1]) Results: D = 2.0000 2.0000 2.8284 6. Markov distance (Mahalanobis Distance) (1) Markov distance definition There are m sample vectors x1~xm, the covariance matrix is denoted as s, the mean values are denoted as vector μ, and the Markov distances of sample vectors x to u are expressed as: Where the Markov distance between the Vector XI and XJ is defined as: If the covariance matrix is a unit mat

build the model.In the exponential distribution family expression of the Bernoulli distribution we have known:, thus obtained.Three assumptions for building a generalized linear model: Assuming that the Bernoulli distribution is met, , in Bernoulli distribution The derivation process is as follows:As with the least squares model, the next work is done by gradient descent or Newton's method.Note the above push to the result, recall, in the logistic regression, we choose th

Machine Learning: how to use the least squares and Python multiplication in python The reason for "using" rather than "Implementing" is that the python-related class library has helped us implement specific algorithms, and we only need to learn how to use them. With the gradual mastery and accumulation of technology, when the algorithms in the class library cannot meet their own needs, we can also try to im

, example to get the classification result of Class 1The same input is transferred to different nodes and the results are different because the respective nodes have different weights and biasThis is forward propagation.10. MarkovVideoMarkov Chains is made up of state and transitionsChestnuts, according to the phrase ' The quick brown fox jumps over the lazy dog ', to get Markov chainStep, set each word to a state, and then calculate the probability of transitions between statesThis is the proba

the maximum age for garbage.If set to 0, then the young generation object does not go through the survivor area, directly into the old generation. For older generations of more applications, can improve efficiency. If this value is set to a larger value, the younger generation objects are duplicated multiple times in the Survivor area, which increases the survival time of the object's younger generations, increasing the introduction of being recycled in the younger generation.Collector Settings

nodes on the node on behalf of a variety of fractions, example to get the classification result of Class 1The same input is transferred to different nodes and the results are different because the respective nodes have different weights and biasThis is forward propagation.10. MarkovVideoMarkov Chains is made up of state and transitionsChestnuts, according to the phrase ' The quick brown fox jumps over the lazy dog ', to get Markov chainStep, set each word to a state, and then calculate the prob