Tags

• math 75
• machine learning 29
• category 27
• stat 22
• functional programming 12
• java 12
• scala 11
• haskell 9
• c++ 7
• jvm 7
• object oriented 7
• reinforcement learning 7
• regression 6
• design pattern 5
• emacs 5
• linux 4
• significance test 4
• compile 3
• hypothesis 3
• loss function 3
• neural network 3
• behavioral pattern 2
• classification 2
• decision tree 2
• garbage collecion 2
• git 2
• gps 2
• linear regression 2
• makefile 2
• rap 2
• recommendation 2
• structural pattern 2
• type of error 2
• alternating least squares 1
• antlr 1
• autocompletion 1
• awk 1
• bash 1
• bayesian 1
• bytecode 1
• case class 1
• collaborative filtering 1
• concurrency 1
• creational pattern 1
• data structure 1
• docker 1
• ecb 1
• environment 1
• error code 1
• feature engineering 1
• font 1
• garbage collection 1
• glob 1
• google map 1
• gpg 1
• installation 1
• kafka 1
• kerberos 1
• keywords 1
• logistic regression 1
• matrix factorization 1
• multicore 1
• mysql 1
• object orianted 1
• optimization 1
• option 1
• package manager 1
• parser 1
• path search 1
• pattern matching 1
• prediction accuracy 1
• quadratic programming 1
• reflection 1
• regex 1
• regularization 1
• scheme 1
• sed 1
• serialization 1
• similarity 1
• sort 1
• ssh 1
• svm 1
• time series 1
• tmux 1
• vim 1
• wsl 1
• yasnippet 1
• 吳語 1
• 溫州閒話 1

c++

• Language Keywords
• Override Overload Overwrite
• Emacs With Yasnippet And Autocompletion
• Emacs C++ Develop Environment
• More On Makefile And Autodependencies
• The Use Of Makefile
• Compiling C And Cpp Programs

compile

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

makefile

• More On Makefile And Autodependencies
• The Use Of Makefile

emacs

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

environment

• Emacs C++ Develop Environment

package manager

• Emacs Package Manager And Theme Setup

ecb

• Emacs With Emacs Code Browser

yasnippet

• Emacs With Yasnippet And Autocompletion

autocompletion

• Emacs With Yasnippet And Autocompletion

溫州閒話

• 叄仟煩惱絲 By 思嫣

吳語

• 叄仟煩惱絲 By 思嫣

rap

• 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

creational pattern

• Design Pattern Part 1

structural pattern

• Design Pattern Part 3
• Design Pattern Part 2

behavioral pattern

• Design Pattern Part 5
• Design Pattern Part 4

java

• Notes On Antlr4
• Notes On Kerberos
• Nested Class In Java
• Classnotfoundexception Vs Noclassdeffounderror
• Notes On Maven
• Reference Counting
• Java Serialization
• Language Keywords
• Specific Java Garbage Collector
• Memory Management In Java
• Variance In Scala
• Override Overload Overwrite

scala

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

case class

• Case Class And Pattern Matching In Scala

pattern matching

• 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
• Variance In Scala
• Case Class And Pattern Matching In Scala

option

• Case Class And Pattern Matching In Scala

sort

• Merge Sort Implementation In Scala

object orianted

• Variance In Scala

jvm

• Nested Class In Java
• Notes On Jvm Bytecode
• Notes On Memory And Jvm
• Notes On Reflection
• Notes On Concurrency In Jvm
• Specific Java Garbage Collector
• Memory Management In Java

garbage collecion

• 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

installation

• Installing Linux Debian, Arch

google map

• Simple Google Map Demo

gps

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

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

category

• Structures Over Functions In Haskell
• Monad In Haskell
• Applicative In Haskell
• Functor In Haskell
• Monoid In Haskell
• 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

keywords

• Language Keywords

scheme

• Y Combinator

git

• Notes On Git Part 2
• Notes On Git Part 1

tmux

• Notes On Tmux

vim

• Notes On Vim

stat

• Sampling Implementation
• 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 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
• 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 Time Series

time series

• Notes On Time Series

ssh

• Notes On Ssh

error code

• Notes On Ssh

serialization

• Java Serialization

garbage collection

• Reference Counting

font

• Notes On Fonts

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 Proximal Algorithms
• 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

quadratic programming

• Notes On Support Vector Machine

classification

• Notes On Logistic Regression
• Notes On Support Vector Machine

loss function

• Notes On Logistic Regression
• Notes On Linear Regression
• Notes On Support Vector Machine

svm

• Notes On Support Vector Machine

regression

• Softmax Regression Revisit 2
• Softmax Regression Revisit
• Notes On The Isotonic Regression
• Notes On Proximal Algorithms
• Notes On Regression Revisit
• Notes On Linear Regression

linear regression

• Significance Test For Linear Regression
• Notes On Linear Regression

regularization

• Notes On Linear Regression

logistic regression

• Notes On Logistic Regression

optimization

• Notes On Gradient Descent And Newton Raphson Method

glob

• Glob Pattern

regex

• Glob Pattern

recommendation

• Notes On Youtube Dnn
• Notes On Collaborative Filtering

collaborative filtering

• Notes On Collaborative Filtering

alternating least squares

• Notes On Collaborative Filtering

similarity

• Notes On Similarity Measurements

data structure

• B Trees

feature engineering

• Box Cox Transformation And Power Transformation

awk

• Notes On Awk And Sed

sed

• Notes On Awk And Sed

prediction accuracy

• Measurements Of Prediction Accuracy

hypothesis

• Notes On Significance Test Revisit
• Notes On Sign Test
• Significance Test

significance test

• Notes On Significance Test Revisit
• Notes On Sign Test
• Significance Test For Linear Regression
• Significance Test

type of error

• Notes On Significance Test Revisit
• Significance Test

path search

• A Star Algo In Path Search

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

bayesian

• Notes On Bayesian Modelling

mysql

• Notes On Unique Key In Mysql

decision tree

• Notes On Ensembles Of Decision Trees
• Notes On Classification And Regression Trees

neural network

• Notes On Restricted Boltzmann Machine
• Notes On Word2vec
• Notes On Neural Network

concurrency

• Notes On Concurrency In Jvm

reflection

• Notes On Reflection

bytecode

• Notes On Jvm Bytecode

kafka

• Notes On Kafka Replication

kerberos

• Notes On Kerberos

antlr

• Notes On Antlr4

parser

• Notes On Antlr4

matrix factorization

• Notes On Factorization Machines

multicore

• Notes On Multiprocessor Programming

bash

• Bash Command Line Shortcuts

docker

• Notes On Docker

reinforcement learning

• 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

wsl

• Use Awesomewm With Wsl