Machine learning studies have unfortunately bi-polarization. Practitioners mostly adopt either deep learning or gradient boosting machines. They might support these … More
Category: Machine Learning
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 … More
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
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
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
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
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
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
Large Scale Machine Learning with Pandas
We often store the training data set in memory and transfer it to learning algorithm. Mostly, numpy handles data manipulation … More
A Beginner’s Guide to TensorFlow.js: Machine Lerning in JavaScript
We can do magnificent things with TensorFlow such as face recognition, facial expression recognition and computer vision. However, its main intent … More
