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Sefik Ilkin Serengil

Code wins arguments

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Author: Sefik Serengil

Twisted Edwards Curves for Digital Signatures

Edwards curves are pivotal ones in crypto field. The normal form Harold Edwards studied was x2 + y2 = c2 + … More

edwards curve, elliptic curve

A Gentle Introduction to Edwards-curve Digital Signature Algorithm (EdDSA)

Elliptic curves are the most challenging topic in crypto field whereas Edwards curves are the hottest topic among elliptic curves. Elliptic … More

digital signature, EdDSA, elliptic curve, python

A Gentle Introduction to Edwards Curves

In 2007, Harold Edwards introduced a new form for elliptic curves. Thereafter, people interestingly named this form as Edwards Curves. Nowadays, … More

edwards curve, edwards form, elliptic curve, induction

A Step by Step Hill Cipher Example

Hill cipher is a kind of a block cipher method. Actually, it was the first one appearing in the history. … More

block cipher, dot matrix, matrix multiplication, polygraphic cipher, python

Using Custom Activation Functions in Keras

Almost every day a new innovation is announced in ML field. Such an extent that number of research papers published … More

activation function, e-swish, keras, swish

A Step by Step Adaboost Example

Adaptive boosting or shortly adaboost is awarded boosting algorithm. The principle is basic. A weak worker cannot move a heavy … More

boosting, decision tree, perceptron

A Step by Step Gradient Boosting Example for Classification

Gradient boosting machines might be confusing for beginners. Even though most of resources say that GBM can handle both regression … More

classification, cross entropy, decision tree, gbm, gradient boosting, iris, softmax

How Pruning Works in Decision Trees

Decision tree algorithms create understandable and readable decision rules. This is one of most important advantage of this motivation. This … More

decision tree, overfitting, pruning

A Gentle Introduction to LightGBM for Applied Machine Learning

It is a fact that decision tree based machine learning algorithms dominate Kaggle competitions. More than half of the winning solutions … More

decision tree, gbm, gradient boosting, lightgbm, xgboost

A Step by Step Gradient Boosting Decision Tree Example

Adoption of decision trees is mainly based on its transparent decisions. Also, they overwhelmingly over-perform in applied machine learning studies. … More

decision tree, gbm, gradient boosting

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