Kardi Teknomo
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Visit Tutorials below:

k-Means clustering
K Nearest Neighbor
Market Basket Analysis
Similarity and Distance
Normalization of Performance Index
Adaptive Learning from Histogram
Discriminant analysis
Reinforcement Learning
Monte Carlo Simulation
Bootstrap Sampling
Recursive Average
Kernel Regression
Difference equations
Summation Tricks
Ginger Bread Man and Chaos
Mean and Average
Mean, median, mode
Variance and Standard deviation
Time Average & Time Variance
Data Revival from Statistics
Sierpinski gasket
Regression Model
Generalized Mean
Graph Theory
Growth Model
Digital Root
Continued Fraction
PI
Convert Decimal to rational
Euler Number
Power rules
Logarithm Rules
Bayes Theorem
Independent Events
Conditional Probability
Kernel basis function

Visual Basic (VB) tutorial
Micrsoft Excel Tutorial
Microsoft Excel Macro
Tower of Hanoi
Newton Raphson
Excel Iteration
Finding Eigen Value
Root of Polynomial
Ordinary Differential Equation
Soving System Equation
Generalized Inverse
Runge-Kutta
Euler Integration
Prime Factor

ArcGIS tutorial
Learning from data
Data Analysis from Questionnaire
System dynamic
Break Even Point
Sensitivity and What If Analysis
Financial Analysis
Multicriteria decision making
Analytic Hierarchy Process (AHP)
LAN Connections Switch.

Welcome to Kardi Teknomo's Homepage


Welcome to Kardi Teknomo's Homepage


Hi, Thanks for visiting this page.

Many people said that they enjoy my technical tutorials as well as my self-help ideas, or my research resources. If you found any of them are useful, you may contact me as you please. I would be happy to hear anything from you. Enjoy surfing and please visit again!

 

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"your tutorial about KNN algorithm is brief and simple, good job man! it's the clearest kNN explanation i've found!" <Diego Brusetti, Milan, Italy>

"thank you . it's useful for my senior project we are doing our senior project about market basket analysis so we decide to use k-mean clustering" <Suthasinee>

 
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