package main // 参考文档: // go 基本类型和运算符 // https://github.com/Unknwon/the-way-to-go_ZH_CN/blob/master/eBook/04.5.md // 引入需要使用的类 import ( "fmt" // 格式化输出 "math/rand" // 数学随机数 "time" // 时间 ) func main () { // 获取整形随机数 ; i < ; i++…

Growing Pains for Deep Learning Advances in theory and computer hardware have allowed neural networks to become a core part of online services such as Microsoft's Bing, driving their image-search and speech-recognition systems. The companies offering…

Curiosity-Driven Learning through Next State Prediction 2019-10-19 20:43:17 This paper is from: https://medium.com/data-from-the-trenches/curiosity-driven-learning-through-next-state-prediction-f7f4e2f592fa In the last few years, we’ve seen a lot of…

1.模块 1.1 pickle模块 # ### pickle 序列化模块 import pickle """ 序列化: 把不能够直接存储的数据变得可存储 反序列化: 把数据恢复成原本的数据格式 serialize 序列化 unserialize 反序列化 """ # 正常情况下,不能够直接把容器类型数据等直接存储在文件当中 """ with open("ceshi.txt",mode="…

When a golf player is first learning to play golf, they usually spend most of their time developing a basic swing. Only gradually do they develop other shots, learning to chip, draw and fade the ball, building on and modifying their basic swing. In a…

Beginners Guide To Learn Dimension Reduction Techniques Introduction Brevity is the soul of wit This powerful quote by William Shakespeare applies well to techniques used in data science & analytics as well. Intrigued ? Allow me to prove it using a s…

Learn Docker A Container is to VM today, what VM was to Physical Servers a while ago. The workload seems to shifting towards containers, and fast! In case you haven't started ramping on it yet, you may find it a bit overwhelming to begin with. I thou…

A. Design Tutorial: Learn from Math time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output One way to create a task is to learn from math. You can generate some random math statement or modify som…

1. 前言 Random Forests (RF) 是由Breiman [1]提出的一类基于决策树CART的Bagging算法.论文 [5] 在121数据集上比较了179个分类器,效果最好的是RF,准确率要优于基于高斯核SVM和多项式LR.RF自适应非线性数据,不易过拟合,所以在Kaggle竞赛大放异彩,大多数的wining solution都用到了RF. 集成学习(ensemble learning)主要分为两大流派:Bagging与Boosting,两者在训练基分类器的思路截然不同: Bag…

一.Scikit Learn中使用estimator三部曲 1. 构造estimator 2. 训练模型:fit 3. 利用模型进行预测:predict 二.模型评价 模型训练好后,度量模型拟合效果的常见准则有: 1.      均方误差(mean squared error,MSE): 2.      平均绝对误差(mean absolute error,MAE) 3.      R2 score:scikit learn线性回归模型的缺省评价准则,既考虑了预测值与真值之间的差异,也考虑了问题…