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Sefik Ilkin Serengil

Code wins arguments

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Machine Learning Wars: Deep Learning vs GBM

Machine learning studies have unfortunately bi-polarization. Practitioners mostly adopt either deep learning or gradient boosting machines. They might support these…

deep learning, gbm, kaggle, KDDCup, superman

Apparent Age and Gender Prediction in Keras

Computer vision researchers of ETH Zurich University (Switzerland) announced a very successful apparent age and gender prediction models. They both…

age prediction, deep learning, gender prediction, keras, python, vgg

Twisted Edwards Curves for Digital Signatures

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

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…

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,…

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.…

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…

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…

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…

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…

decision tree, overfitting, pruning

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