Expectation Maximization method recursively tries from a point and forwards to a better point import numpy as np from scipy.stats import norm import matplotlib.pyplot as plt %ma...

Intuitively, to calssify which class a point belongs, SVM Classifier compares point against the characteristc points of each class after points are transformed into a higher hig...

Gradient Boosing trains additional models on negative gradient residual from __future__ import division import numpy as np import pandas as pd from sklearn.tree import DecisionT...

Random Forests builds various decision trees on bootstrap samples and random seleted features, prediction can be made by averaging from __future__ import division import numpy a...

Adaboost linearly combines weak learners into a single strong learner in an iterative fashion. At each iteration, the higher weights are set on previously misclassified samples,...

Decision Tree Classifier recursively generates rule to split data so as to minimize the impurity of each subset until every sample in subset belongs to the same class from __fut...

K-Nearest Neighbors predicts output from k nearest neighbors from sklearn.datasets import load_boston from sklearn.neighbors import NearestNeighbors import numpy as np import ml...

K-means clustering aims to partition the samples into k sets so as to miniize the sum of distances between each pointer to the K center The algorithm proceeds by iterating two s...

Stochastic Gradient Descent iterates through all samples to update parameters of model by gradient descent import numpy as np import ml_metrics as mtr from collections import de...

Naive Bayes method is based on applying Bayes’s theorm with the “naive” assumption of independence between features Gaussian Naive Bayes assumes the likelihood is gaussian fr...

Principal Component Analysis approaches dimensionality reduction by selecting top k eigenvectors from __future__ import division import numpy as np import pandas as pd from skle...

Logistic Regression assumes that the probability of the dependent varaiable y equaling a positive case can be interpreted as logistic function We can now defind the cost functio...

Suppose that for a known matrix A and vector b, we wish fo find a vector X such that The ridge regression approach seeks to minimize the sum of squared residuals with a regulari...

ios浏览器的video的播放需要手动触发，video的play方法必须在click之类的事件中调用。但是，如果在点击后，进行了ajax请求，请求完成后更新了video的播放地址，video便不能播放了。经尝试，发...

Introduction If things don’t go your way in predictive modeling, use XGboost. XGBoost algorithm has become the ultimate weapon of many data scientist. It’s a highly sophistica...

Model ensembling is a very powerful technique to increase accuracy on a variety of ML tasks. In this article I will share my ensembling approaches for Kaggle Competitions. For t...

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Faster Deep Copies of Java Objects The java.lang.Object root superclass defines a clone() method that will, assuming the subclass implements the java.lang.Cloneable interface, r...