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Sefik Ilkin Serengil

Code wins arguments

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Tag: python

Handling Hang in Python Multiprocessing

Parallelism is a must for a production-driven application. Even though python programming language is pretty, its parallelism module might be … More

multiprocessing, python

Designing Recursive Functions with Python Multiprocessing

Multiprocessing is a must to develop high scalable products. However, python multiprocessing module is mostly problematic when it is compared … More

multiprocessing, python, recursive

Flask Experiments for a Deep Learning Project

Flask is a pretty web framework to publish python projects as an api. Recently, I’ve published one of my project … More

API, flask, python, rest

Publishing Python Packages on Pip and PyPI

Library diversity might be the trigger of being popular of python programming language nowadays. This encourages open source culture as … More

open source, pip, pypi, python

A Gentle Introduction to Feature Importance in Machine Learning

Machine learning interpretability and explainable AI are hottest topics in data world nowadays. Even though linear regression is ignored by … More

feature importance, feature selection, from scratch, linear regression, python, scikit learn

Mish As Neural Networks Activation Function

Recently, Mish activation function is announced in deep learning world. Researchers report that it overperforms than both regular ReLU and Swish. The … More

activation, activation function, backpropagation, derivative, keras, mish, neural networks, python, softplus, tanh

The Fastest Way to Calculate Combination and Permutation

Combination and permutation calculations appear often in daily programming challenges such as HackerRank. Even though we all know how to … More

combination, permutation, python

Explaining h2o models with Lime

Interpretability and accuracy inversely proportional concepts. Models offering higher accuracy such as deep learning or GBM would be lowly interpretable. … More

explainable ai, h2o, interpretability, lime, python

A Gentle Introduction to Chefboost for Applied Machine Learning

Even though deep learning is hottest topic in the media, decision trees dominates the real world challenges. Recently, I’ve announced a … More

adaboost, decision tree, gbm, gradient boosting, python, random forest

Face Recognition with OpenFace in Keras

OpenFace is a lightweight and minimalist model for face recognition. Similar to Facenet, its license is free and allowing commercial … More

face recognition, facenet, one shot learning, openface, python, vgg-face

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