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Sefik Ilkin Serengil

Code wins arguments

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Artistic Style Transfer for Videos

State-of-the-art states the highest level in English. Because art is outpouring of human intelligence and sense of aesthetics. Artistic style transfer is…

gpu, style transfer, tesla, tesla p100, van gogh, video

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…

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…

combination, permutation, python

Interpretable Machine Learning with H2O and SHAP

Previously, we’ve made explanations for h2o.ai models with lime. Lime enables questioning for made predictions of built models. Herein, SHAP…

explainable ai, h2o, interpretability, lime, shap

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.…

explainable ai, h2o, interpretability, lime, python

A Gentle Introduction to H2O GBM

GBM dominates tabular data based kaggle challenges. Putting it in the tool box is a must for data scientist. XGBoost, LightGBM…

gbm, gradient boosting, h2o

H2O Frame: Calling Forth The Power of Ten Tigers

Pandas has the power of a tiger. Its performance can still surprise me. However, it comes with  a huge shortage.…

dataframe, h2o, pandas

Tips for Building AutoML with AutoKeras

Previously, we’ve already mentioned AutoKeras – an AutoML tool supported by Keras team. It just handles image data in a…

autokeras, automl

A Gentle Introduction to H2O AutoML

People always have an edge to AI because they have fear to lose their daily jobs. Herein, jobs of AI…

automl, DRF, gbm, gradient boosting, h2o, random forest, xgboost

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…

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

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