Catalogue/update in 2018.09.10

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原创最新推荐文章于 2026-08-05 13:17:40 发布 1.6k 阅读 AI 写同款· GEO 优化 ›

哥白尼数据空间OData API踩坑实录：Python requests查询Sentinel-3数据时的那些过滤条件怎么写？本文详细解析了如何使用Python requests构建高效的OData API查询条件，从哥白尼数据空间获取Sentinel-3卫星数据。涵盖时间范围、卫星轨道参数、产品类型等过滤技巧，帮助开发者避开常见陷阱，实现精准数据检索。阅读详情

Welcome to my blog column:
Dive into ML/DL!

click here to jump into my English website

About me

	Name: Xiangguo Sun
	E-mail: sunxiangguodut@qq.com

I devote myself to dive into typical algorithms on machine learning and deep learning, especially the application in the area of User Portrait. In order to reach there, we need to do some research including but not limited to computational personality, user portrait, online social network, computational society, and ML/DL. In fact you can find the internal relashionships between these concepts:

In this blog column, I will introduce some typical algorithms used in OSNs(Online Social Networks), which means we will include NLP, NRL/NE, networks community, information diffusion, and individual recommendation system. Apparently, our ultimate target is to dive into user portrait , especially the issues on your personality analysis.

All essays listed below can be used for non-commercical intentions. You can scan the QR code below to donate me.

赏金将用于拉萨儿童图书公益募捐
All donation will be used to the library of charity for children in Lhasa. 社会公益，听IT人的声音
手机扫一扫，即可：

《春天里，我们的拉萨儿童图书馆，需要大家的帮助》

Catalogue

The most popular blogs

深入浅出EM算法[hot]
关于奇异值以及奇异值分解SVD的思考[hot]
python 中文文本分类[hot]
特征工程概述[hot]
kNN原理与实现[hot]
logistic回归[hot]
感知机实现Python[hot]
K-Means聚类算法原理[hot]

Machine Learning
【机器学习系列博客】1. 维度的诅咒 [hot]

Keras and tensorflow

training deep learning model[hot]
keras深度训练1:fit和callback[hot]
keras深度训练2:训练分析[hot]
keras深度训练3：服务器连接[hot]
keras深度训练4:GPU设置[hot]
keras深度训练5: 断点训练[hot]

LDA
Beta分布，二项分布，Dirichlet分布，多项式分布新解 [hot]
深入浅出LDA(1) [hot]
深入浅出LDA(2) [hot]
深入浅出LDA(3)
深入浅出LDA(4)

RecSys
推荐系统概述 [hot]
推荐系统概述1 [hot]
推荐系统概述2 [hot]
推荐系统概述3 [hot]
推荐系统概述4 [hot]
推荐系统概述5
推荐系统概述6
推荐系统概述7

CNN
卷积神经网络CNN理论到实践 [hot]
卷积神经网络CNN理论到实践(1) [hot]
卷积神经网络CNN理论到实践(2) [hot]
卷积神经网络CNN理论到实践(3) [hot]
卷积神经网络CNN理论到实践(4) [hot]
卷积神经网络CNN理论到实践(5) [hot]
卷积神经网络CNN理论到实践(6) [hot]
卷积神经网络CNN理论到实践(7)
卷积神经网络CNN理论到实践(8)

PGM
概率图模型系列（更新至2017.11.15） [hot]
概率图模型周边
概率图模型1：隐马尔科夫(1)
概率图模型2：隐马尔科夫(2)
概率图模型3：隐马尔科夫(3)
概率图模型4：贝叶斯网络 [hot]
概率图模型5：无向图入门 [hot]
概率图模型6：条件随机场(1)
概率图模型7：推理与流动
概率图模型8：独立性
概率图模型9：贝叶斯网络
概率图模型9:d-分离算法 [hot]
概率图模型10:I-等价 [hot]
概率图模型11:Minimal I-Maps [hot]

Algorithm(undergraduate level)
python：从数据结构到高级算法(更新至2017.09.08)
高级算法日记1：摸底课
高级算法日记2：第1次课笔记
高级算法日记3：python数据结构之栈和队列
高级算法日记4：第2次课笔记
高级算法日记4:查找与排序
高级算法日记5:二叉树
高级算法日记6:表栈队列
高级算法日记7：专题
高级算法日记8:图(1) [hot]
高级算法日记9:图(2) [hot]
高级算法日记10:图(3) [hot]
高级算法日记11:图(4) [hot]
高级算法日记12:图(5) [hot]

Practice
Practice is essential both for researchers and engineers, the following is a Knowledge Graph of technologies that I’m interested in. Blogs here therefore, are mainly surrounded about them.

这里写图片描述