Categories

• math 75
• machine learning 28
• tools 13
• functional programming 11
• haskell 9
• scala 9
• java 7
• object oriented 7
• design pattern 5
• jvm 5
• C++ 4
• emacs 4
• linux 4
• 隨筆 4
• algorithm 3
• music 2
• optimization 2
• database 1
• demo 1
• gpg 1
• kafka 1
• multicore 1
• recommendation 1
• transform 1
• 方言 1

C++

• Language Keywords
• More On Makefile And Autodependencies
• The Use Of Makefile
• Compiling C And Cpp Programs

emacs

• Emacs With Yasnippet And Autocompletion
• Emacs With Emacs Code Browser
• Emacs Package Manager And Theme Setup
• Emacs C++ Develop Environment

方言

• 叄仟煩惱絲 By 思嫣

music

• Daydream By 宋嶽庭
• 叄仟煩惱絲 By 思嫣

design pattern

• Design Pattern Part 5
• Design Pattern Part 4
• Design Pattern Part 3
• Design Pattern Part 2
• Design Pattern Part 1

object oriented

• Types In Scala
• Override Overload Overwrite
• Design Pattern Part 5
• Design Pattern Part 4
• Design Pattern Part 3
• Design Pattern Part 2
• Design Pattern Part 1

scala

• Notes On Promise And Future
• Classnotfoundexception Vs Noclassdeffounderror
• How To Simulate Typeclass In Scala
• Lambda
• Language Keywords
• Types In Scala
• Variance In Scala
• Merge Sort Implementation In Scala
• Case Class And Pattern Matching In Scala

functional programming

• How To Simulate Typeclass In Scala
• Structures Over Functions In Haskell
• Monad In Haskell
• Applicative In Haskell
• Functor In Haskell
• Monoid In Haskell
• Type In Haskell
• Infix Functions In Haskell
• Lambda
• Y Combinator
• Case Class And Pattern Matching In Scala

algorithm

• A Star Algo In Path Search
• B Trees
• Merge Sort Implementation In Scala

java

• Notes On Antlr4
• Classnotfoundexception Vs Noclassdeffounderror
• Reference Counting
• Java Serialization
• Language Keywords
• Specific Java Garbage Collector
• Memory Management In Java

linux

• Notes On Some Linux Tools
• Notes On Awk And Sed
• Glob Pattern
• Installing Linux Debian, Arch

demo

• Simple Google Map Demo

transform

• Simple Convertion From Longitude, Latitude To X, Y In Small Area

gpg

• First Try With Gpg

math

• Notes On Youtube Dnn
• Notes On Gbdt
• Notes On Reinforcement Learning Approximate P2
• Notes On Reinforcement Learning Approximate P1
• Notes On Reinforcement Learning Tabular P3
• Notes On Reinforcement Learning Tabular P2
• Notes On Reinforcement Learning Tabular P1
• Notes On Reinforcement Learning
• Sampling Implementation
• Notes On Esldm
• Notes On Probabilistic Perspective Part 3
• Notes On Probabilistic Perspective Part 2
• Notes On Probabilistic Perspective Part 1
• Notes On Convexopt
• Notes On Nonlinear Optimization
• Generate Random Variables Third Visit
• Notes On Expectation Maximization And Variational Methods
• The Gaussian Process And The Dirichlet Process
• Notes On Sampling Revisit
• Notes On Restricted Boltzmann Machine
• Notes On Factorization Machines
• Notes On Word2vec
• Notes On Neural Network
• Softmax Regression Revisit 2
• Softmax Regression Revisit
• Notes On Differentiation
• Notes On The Isotonic Regression
• Notes On Ensembles Of Decision Trees
• Notes On Classification And Regression Trees
• Notes On Significance Test Revisit
• Notes On Balls And Boxes
• Notes On Stirling Numbers Of The Second Type
• Notes On The Matching Problem
• Notes On The Inclusion Exclusion Principle
• Notes On Sign Test
• Notes On Percentile And Order Statistics
• Notes On Proximal Algorithms
• Notes On Regression Revisit
• Efficient Sampling From Known Distribution
• Notes On Bayesian Modelling
• Naive Bayes Classifier
• Significance Test For Linear Regression
• Central Limit Theorem
• Significance Test
• Measurements Of Prediction Accuracy
• Box Cox Transformation And Power Transformation
• Notes On Similarity Measurements
• Notes On Collaborative Filtering
• Notes On Gradient Descent And Newton Raphson Method
• Notes On Logistic Regression
• Notes On Linear Regression
• Notes On Support Vector Machine
• Notes On Time Series
• Notes On Categories S22 Group Theory And Connected Objects
• Notes On Categories S21 The Connected Components Functor
• Notes On Categories S20 Parts Of An Object: Toposes
• Notes On Categories S19 Subobjects, Logic, And Truth
• Notes On Categories S18 The Contravariant Parts Functor
• Notes On Categories S17 Map Objects: Exponentiation
• Notes On Categories S16 Binary Operations And Diagonal Arguments
• Notes On Categories S15 Category Of Pointed Sets
• Notes On Categories S14 Uniqueness Of Products And Definition Of Sum And Universal Constructions
• Notes On Categories S13 Universal Mapping Properties
• Notes On Categories S12 Terminal Objects And Points Of Objects And Products
• Notes On Categories S11 Idempotents, Involutions, And Graphs
• Notes On Categories S10 Positive Properties
• Notes On Categories S9 Monoids
• Notes On Categories S8 Categories Of Richer Structures
• Notes On Categories S7 Brouwer's Theorems
• Notes On Categories S6 Retracts And Idempotents
• Notes On Categories S5 Two General Aspects Of Maps
• Notes On Categories S4 Division Of Maps
• Notes On Categories S3 Isomorphisms
• Notes On Categories S2 Sets And Maps
• Notes On Categories S1 Multiplication

tools

• Use Awesomewm With Wsl
• Notes On Docker
• Bash Command Line Shortcuts
• Notes On Emacs
• Notes On Maven
• Notes On Some Linux Tools
• Notes On Awk And Sed
• Notes On Fonts
• Notes On Git Part 2
• Notes On Ssh
• Notes On Vim
• Notes On Tmux
• Notes On Git Part 1

隨筆

• 运动
• Extract From The Godfather
• List Of Interesting Quora Articles
• List Of American Tv Series

machine learning

• Notes On Youtube Dnn
• Notes On Gbdt
• Notes On Reinforcement Learning Approximate P2
• Notes On Reinforcement Learning Approximate P1
• Notes On Reinforcement Learning Tabular P3
• Notes On Reinforcement Learning Tabular P2
• Notes On Reinforcement Learning Tabular P1
• Notes On Reinforcement Learning
• Sampling Implementation
• Notes On Restricted Boltzmann Machine
• Notes On Factorization Machines
• Notes On Word2vec
• Notes On Neural Network
• Softmax Regression Revisit 2
• Softmax Regression Revisit
• Notes On The Isotonic Regression
• Notes On Ensembles Of Decision Trees
• Notes On Classification And Regression Trees
• Notes On Regression Revisit
• Naive Bayes Classifier
• Significance Test For Linear Regression
• Measurements Of Prediction Accuracy
• Notes On Similarity Measurements
• Notes On Collaborative Filtering
• Notes On Gradient Descent And Newton Raphson Method
• Notes On Logistic Regression
• Notes On Linear Regression
• Notes On Support Vector Machine

optimization

• Notes On Collaborative Filtering
• Notes On Gradient Descent And Newton Raphson Method

recommendation

• Notes On Collaborative Filtering

haskell

• How To Simulate Typeclass In Scala
• Structures Over Functions In Haskell
• Monad In Haskell
• Applicative In Haskell
• Functor In Haskell
• Monoid In Haskell
• Type In Haskell
• Infix Functions In Haskell
• Lambda

database

• Notes On Unique Key In Mysql

jvm

• Nested Class In Java
• Notes On Jvm Bytecode
• Notes On Memory And Jvm
• Notes On Reflection
• Notes On Concurrency In Jvm

kafka

• Notes On Kafka Replication

multicore

• Notes On Multiprocessor Programming