Specialization
Last updated: 2018/05/23
This page collects article series written by the author.
Statistical Learning Theory
- UMSLT01: A Brief History of Regularization Chinese
- UMSLT02: A Brief History of Neural Networks Chinese
- UMSLT03: A Gentle Start of Learning Theory Chinese
- UMSLT04: The Past and Present of SGD Chinese
- UMSLT05: The Consistency of the Learning Process
- UMSLT06: Theorem of Large Numbers in Functional Spaces
- UMSLT07: The Entropy of a Functional Set
- UMSLT08: The Theory of Non-falsifiability
- UMSLT09: Three Milestones in Learning Theory
- UMSLT10: Foundations of Probability and Statistics Theory
- UMSLT11: Glivenko-Cantelli Theorem and More
- UMSLT12: Basic Bounds on the Rate of Convergence
- UMSLT13: Growth Function and VC Dimension
- UMSLT14: Structural Risk Minimization and Minimum Description Length Principle
- UMSLT15: Methods of Solving Ill-Posed Problems
- TBA
Machine Learning Tutorial
GitHub: https://github.com/changkun/ss18-machine-learning-tutorial
Human Computation
- Crowdsourcing and the Wisdom of Crowds (Chinese)
- Games with a Purpose (GWAPs) (Chinese)
- Input Data Aggregation and Link Prediction (Chinese)
- Input Data Aggregation and PageRank (Chinese)
- Credit Risk Rating Models and Eigenvector Centrality (Chinese)
- Prediction Markets (Chinese)
- Social Behavior Analysis (Chinese)
- Pitfalls in Data Science (Chinese)
- Solutions to Pitfalls (Chinese)
- Incentives for System Participation (Chinese)
Mathematical Modeling
Mathematical Modeling Problems (Self-made)
- Link (Chinese)
Introduction to Mathematical Modeling Tutorial
- YouTube Playlist
- Table of Contents
- Lecture 1: What Is Mathematics
- Lecture 2: Calculus Review
- Lecture 3: Understanding Matrices
- Lecture 3: The Miraculous Fixed Point
- Lecture 3: The Fastest Way to Scroll
- Lecture 4: Probability Teaches You to Lie
- Lecture 4: Birthday Problem, Corruption, and Computation Optimization
- Lecture 4: The Gambler’s Ruin Theorem
- Lecture 5: Simple Signal Error Correction
- Lecture 6: Queueing Theory and Birth-Death Processes
- Lecture 7: Queue Systems and Monte Carlo Methods Part 1 — Linked Queue and Service Counter
- Lecture 7: Queue Systems and Monte Carlo Methods Part 2 — Timeline and Simulator (Part I)
- Lecture 7: Queue Systems and Monte Carlo Methods Part 3 — Simulator (Part II) and Bug Fixes
- Lecture 7: Probabilistic Programming and CPU Resource Contention
- Lecture 8: Markov Prediction — Transition Probability and Information Dissipation
- Final Lecture: Hidden Markov Models — Observable vs. Unobservable, Three Fundamental Problems
- Final Lecture: Markov Models — Three Fundamental Problems and Stock Market Prediction (Part I)
- Final Lecture: Markov Models — Stock Market Prediction (Part II)
The Fastest Guide towards Modern C++ (C++11/14/17)
C++ Project Tutorial Series
Note: This series was written by the author for Shiyanlou as a hands-on C++ tutorial series.
Phase 1: Basics
- C++ Solar System Simulation Chinese
- C++ Dynamic Object Tracking Chinese
- C++ Bank Queue Service Simulation Chinese
- C++ First-Person Shooter Game Chinese
Phase 2: Intermediate
- Thread Pool in 100 Lines of C++ Chinese
- High-Performance Memory Pool in C++ Chinese
- C++ Web Service Framework (HTTP+HTTPS) Chinese
- C++ Markdown Parser Chinese
Phase 3: Advanced
- C++ Docker Container Implementation Chinese
- C++ Memory Leak Detector Chinese
- High-Performance RTTI Library in C++ Chinese
Electron in Practice
- Electron Deep Dive: Practical Summary (Chinese)
Lua in One Day
- Mac Environment Setup and Basic Syntax (Chinese)
- Table and Array (Chinese)
- OOP — Table Copying (Chinese)
- OOP — Function Closures (Chinese)
- Cocos2d-x and Lua (Chinese)
Linux Beginner Notes
- Linux Basics and File System Structure (Chinese)
- Essential Linux Commands (Chinese)
- Essential Vim Commands (Chinese)
- Linux File System Operations (Chinese)
- UGO Model and Linux Permissions (Chinese)
- Linux Networking and Configuration (Chinese)
- Getting Help (Chinese)
Linux Kernel Analysis
- How Computers Work (Chinese)
- Time-Slice Round-Robin Scheduling (Chinese)
- Analysis of start_kernel() (Chinese)
- System Calls (Chinese)
- system_call Interrupt Process (Chinese)
- Process Creation (Chinese)
ELK in Practice
- ELK+Redis Best Practices (Chinese)
- ELK on Docker Best Practices
Docker Quick Start Tutorial
- Docker Basic Concepts and Operations (Chinese)
- Docker Image and Container Management (Chinese)
- Docker Data and Network Management & Docker Security
- Docker and Dockerfile
- Docker Operations I: Docker Compose
- Docker Operations II: Docker Swarm and Kubernetes
- Docker API and Development
专题
最后更新:2018/05/23
本页面收录了本人编写的系列文章。
统计学习理论 (Statistical Learning Theory)
- UMSLT01: A Brief History of Regularization 中文
- UMSLT02: A Brief History of Neural Networks 中文
- UMSLT03: A Gentle Start of Learning Theory 中文
- UMSLT04: The Past and Present of SGD 中文
- UMSLT05: The Consistency of the Learning Process
- UMSLT06: Theorem of Large Numbers in Functional Spaces
- UMSLT07: The Entropy of a Functional Set
- UMSLT08: The Theory of Non-falsifiability
- UMSLT09: Three Milestones in Learning Theory
- UMSLT10: Foundations of Probability and Statistics Theory
- UMSLT11: Glivenko-Cantelli Theorem and More
- UMSLT12: Basic Bounds on the Rate of Convergence
- UMSLT13: Growth Function and VC Dimension
- UMSLT14: Structural Risk Minimization and Minimum Description Length Principle
- UMSLT15: Methods of Solving Ill-Posed Problems
- TBA
Machine Learning Tutorial
GitHub: https://github.com/changkun/ss18-machine-learning-tutorial
人肉计算 (Human Computation)
数学建模 (Mathematical Modeling)
数学建模试题(自制)
数学建模初步教程
- YouTube 合集
- 目录
- 第一讲 何谓数学
- 第二讲 微积分拾遗
- 第三讲 理解矩阵
- 第三讲 神一般的不动点
- 第三讲 怎样刷屏最快
- 第四讲 概率教你说谎
- 第四讲 从生日问题看贪官腐败、计算优化
- 第四讲 赌徒输光定理
- 第五讲 简单信号纠错
- 第六讲 等候理论、生灭过程
- 第七讲 队列系统、蒙特卡洛方法 Part.1 链式队列与服务台的实现
- 第七讲 队列系统、蒙特卡洛方法 Part.2 时间线与模拟器实现(上)
- 第七讲 队列系统、蒙特卡洛方法 Part.3 模拟器(下)与Bug修复
- 第七讲 概率编程、CPU资源争夺
- 第八讲 马尔可夫预测:转移概率与信息耗散
- 最终讲 隐马尔可夫预测: 可观测与不可观测 三大基本问题
- 最终讲 马尔可夫模型:三大基本问题与股市预测(上)
- 最终讲 马尔可夫模型:股市预测(下)
高速上手 C++11/14/17 (The Fastest Guide towards Modern C++)
C++ 系列项目教程
第一阶段: 基础
第二阶段: 进阶
第三阶段: 高级
Electron 实践系列
Lua 一日游
Linux 入门笔记
Linux 内核分析
ELK 若干实践
- ELK+Redis 最佳实践
- ELK on Docker 最佳实践
Docker 极速入门教程
- Docker 基本概念和操作
- Docker 镜像与容器管理
- Docker 数据与网络管理及 Docker 安全
- Docker 与 Dockerfile
- Docker 运维之一: Docker Compose
- Docker 运维之二: Docker Swarm 及 Kubernetes
- Docker API 及其开发