摘要： #!/usr/bin/python import os import pandas as pd from sklearn.datasets import fetch_openml import matplotlib import matplotlib.pyplot as plt HOUSING_UR 阅读全文

摘要： #include <iostream> #include <vector> #include <cstddef> #include <string> #include <sstream> #include <fstream> #include <algorithm> #include <cmath> 阅读全文

摘要： void ReadDataFromCsv(std::string &filename, std::vector<std::vector<std::string> > &lines_feat) { std::ifstream vm_info(filename.c_str()); std::string 阅读全文

摘要： If we compare this to the LMS update rule, we see that it looks identical; but this is not the same algorithm, because h(x) is now defined as a none-l 阅读全文

摘要： Under the previous probabilistic assumptions on the data, least-squares regression corresponds to finding the maximum likelihood estimate of θ. This i 阅读全文

摘要： #!/usr/bin/env python3 # -*- coding: utf-8 -*- import paramiko import os, stat import sys import operator as op from string import Template def ssh_co 阅读全文

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摘要： #!/usr/bin/python import pandas as pd df = pd.read_excel('c:\data\zichan.xlsx') df_sn = pd.read_excel('c:\data\SN.xlsx') sn_series = pd.Series(df_sn[' 阅读全文

摘要： The learning algorithm has the property that it can modify its input/output relationship f-hat in response to differences yi-f(xi)-hat between the ori 阅读全文

摘要： Most statistical approaches to outlier detection are based on building a probability distribution model and considering how likely objects are under t 阅读全文