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Repository
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Excalidraw
Drawing 2025-04-01 05.43.59.excalidraw
Marketing
Marketing
Maslow's Hierarchy of needs
Math
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String
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Relation
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4.
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Modular arithmetic
Number theory
Prime number
7
Automata Theory
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graph
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Graph
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Graph for Machine Learning
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Matching
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Path
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Binpacking Problem
Discrete Math
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approximation
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Low-rank Approximation
decomposition
Jordan Block
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function
Linear Function
Map
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Vector Function
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leastsquare
Constrained Least Square
Least Square
Least Square Classification
Multi-objective Least Square
Singular Value Decomposition
matrix
Diagonal Matrix
Dyad
Eigenvalue
Eigenvector
Frobernius Norm
Gram-Schmidt Algorithm
Latent Semantic Analysis
Linear System of Equations
Matrix
Matrix Completion
Matrix Norm
Operator Norm
Orthogonal Matrix
Orthogonal-triangular Decomposition
Positive Semi-definite Matrix
Recommendation System
Spectral Theorem
Square Matrix
Symmetric Matrix
plane
Hyperplane
vector
Affine Function
Basis
Cauchy-Schwartz Inequality
Complex Vector
De-meaned Vector
Euclidean Distance
Euclidean Length
Euclidean Projection
First Order Taylor Approximation
Fourier Transform
Linear Combination
Ones Vector
Orthogonality
Orthonormality
Root Mean Square
Scalar Product
Span
Subspace
Unit Vector
Vector
Vector Gradient
Vector Line
Vector Linear Independence
Vector Norm
Vector Space
Vector's Correlation
Clustering
Fundamental of Linear Algebra
Gram-Schmidt Algorithm
Linear Algebra
Linear Dynamical Systems
Principal Component Analysis
Vector Norm
Operation Research
Operation Research
Statistic
Advanced
Chapter3
Chapman-Kolmogorov Equation
Markov Chain
Stochastic Process
markov
Gambler's Ruin Problem
Long-run Proportion of Markov Chain
Recurrent State
State Accessibility
State Communication
State in Markov Chain
Transient State
Line of Best Fit
Memoryless Variable
Partly Correlation
Regression Model
Spearman's Rank Correlation Coefficient
Chapter 1
Population
Population mean
Sample mean
Chapter 2
Bayes theorem
Conditional probability
Intersect operation
Union operation
Chapter 3
Standard deviation
Chapter 4
Sample
Chapter 6
Sum of independent variables
Chapter 7
Distribution of a function of a random variable
Exponential Distribution
Gamma distribution
Hazard rate function
The DeMoivre-Laplace limit theorem
Uniform distribution
Chapter 8
Chi-squared distribution
Conditional joint distribution
Independent random variable
Joint cumulative distribution function
Joint distribution of functions of variables
Joint probability density function
Joint probability mass function
Jointly distributed random variable
Marginal probability mass function
Chapter 9
Conditional variance
Correlation
Linear regression
Moment generating function
Chapter 10
Central limit theorem
Chebyshev's inequality
Distribution of sample mean
Indicator Variable
Law of large number
Limit theorems
Markov's inequality
Mean square error
Strong law of large numbers
Weak law of large numbers
Chapter 11
Confidence interval
Prediction
t distribution
Chapter 12
Alternative Hypothesis
Hypothesis Testing
Null Hypothesis
t test
Type 1 Error
Type 2 Error
Chapter 13
Difference random variable of 2 variables
Population Proportion
conditional
Conditional expectation
Conditional Independence
Conditional variance
Correlation
Covariance
Linear regression
Moment generating function
Properties of expectation
Sample variance
Correlation
Conditional Independence
Correlation Coefficient
distribution
Binomial distribution
Chi-squared distribution
Conditional joint distribution
Continuous random variable
Cumulative distribution function
Discrete random variable
Distribution of a function of a random variable
Exponential Distribution
Gamma distribution
Hazard rate function
Independent random variable
Joint cumulative distribution function
Joint Distribution
Joint distribution of functions of variables
Joint probability mass function
Marginal probability mass function
Normal distribution
Poisson distribution
Probability density function
Skewness
Standard normal distribution
Sum of independent variables
The DeMoivre-Laplace limit theorem
Uniform distribution
Variance
multivariate
Comparision of Multivariate Means
Inferences about a Mean Vector
Multivariate Linear Regression Model
Multivariate Normal Distribution
Multivariate Statistics
Probability
Combination
Combinatorial analysis
Conditional Distribution
Intersect operation
Mutually exclusive
Permutation
Population
Population mean
Probability
Probability mass function
Sample mean
Sample space
Statistical event
Union operation
Sampling
Non-response error
Response error
Sample
Sample from Given Distribution
Sampling and Data
Sampling error
Systematic sampling
Stochastic
Counting Process
Poisson Process
test
F-distribution
Q-Q Plot
Time-series
Additive Model
Moving Average
Multiplicative Model
Seasonal Variation
Time Series
Time Series Trend
Descriptive statistic
Expected value
Standard deviation
Statistics
Mathematics
Psy
Arrival fallacy
Cognitive bias
Cognitive dissonance
Confirmation bias
IKEA effect
Price's Law
Psychology
Spotlight effect
to be sorted
Amazon CloudWatch
AppArmor
Authenication
AWS Billing and Cost Management
AWS Compute services
AWS Storage services
Certificate Authority
Cyber Security
Digital Certificate
Elastic Load Balancer
firewall-cmd command
firewalld
Hashing
Information System
IP table
iptables command
Lightweight Directory Access Protocol(s)
nft command
Nftable
nmap command
Pluggable Authenication Module
Public Key Infrastructure
SELinux
tcpdump command
tshark command
ufw command
Uncomplicated Firewall
User Datagram Protocol
Wireshark
Home
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CompSci
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VM
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Machine Image
Machine Image
Jun 01, 2025
1 min read
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Amazon Machine Image
Compute Engine Image
Compute Engine Machine image
Container
Docker image