SVM : The Dual Formulation in Machine Learning
Irawen
10:21
Optimization problem with convex quadratic objectives and linear constraints Can be solved using QP. Lagrange duality to get the o...
Diffie-Hellman Key in Block Chain
Irawen
03:28
Diffie-Hellman key exchange is a method to securely establish a shared secret between two parties (Alice and Bob) over a public channel. ...
Logarithms and Discrete Logarithm in Block chain
Irawen
22:35
2 3 = 2 ⤫ 2 ⤫ 2 = 8 2 is called the base 3 is called the exponent and determines the number of times the base should be multiplied ...
Modulo Operation in Blockchain
Irawen
09:04
7/5 = 1 remainder 2 If you are only are interested in the remainder, the mathematical notation is: 7 mod 5 = 2 You pronounce it as: 7...
Using of First Order Logic (FOL) in Artificial Intelligence
Irawen
00:00
We want to TELL things to the KB, e.g. TELL (KB, ∀x,King(x) ⇒Person(x) TELL(KB, King(John) These sentence are assertions We als...
Support Vector Machine(SVM) in Machine Learning
Irawen
23:34
Support vector machine (SVM) algorithms are used i n classification. Classification can be viewed as the task of separ ating classes in f...
Ordinary Least Squares Regression in Data Analytics
Irawen
07:36
Ordinary Least Squares (OLS) Context: → Supervised Learning Derivation of OLS → Fit a line of the form y...
Artificial Neural Network in Deep Learning
Irawen
08:32
Problem Before Neural Networks Unless the specific steps that the computer needs to follows are known the computer cannot solve a pro...
Digital Signature in BlockChain
Irawen
06:52
A digital signature is equivalent of a handwritten signature but it is much more secure a handwritten signature can be faked. A digital ...
Symmetric keys and asymmetric key in Block chain
Irawen
06:08
Symmetric Key A symmetric key algorithm require the same key for both encryption of a plaintext and decryption of a cipher text. This ...
Logistic Regression in Machine Learning
Irawen
05:59
Name derived from the Logit Transformation Differences from OLS Used for predicting the outcome of a binary dependent variable ...
Data Modelling and Algorithmic Modelling Approaches
Irawen
06:10
The difference of the K-Nearest Neighbors approach Breiman, L. (2001). Statistical modeling: The two cultures (with comments and a rejo...
Regularization/Coefficients Shrinkage
Irawen
05:31
Motivation Metrics to evaluate a Regression Model We have so far discussed the p-value from the F-test of an ANOVA What about R 2 a...
Quantification ∀
Irawen
23:24
Universal Quantification ∀ ∀ means "for all" Allows us to make statements about all Objects that have certain properties C...
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