Data scientists tend to use pandas for data transformation because it is pretty. I witnessed many times that feature engineering … More
Category: Machine Learning
A Gentle Introduction to Auto-Keras
Finding the correct network structure and hyper-parameters is a totally black box in deep learning. There is no rule or … More
Tips and Tricks for GPU and Multiprocessing in TensorFlow
Having a GPU shows the wealth. Today, you should spend thousands of dollars to have a good one. For example, … More
Machine Learning meets Blockchain
Solutions come after problems but exceptionally blockchain is a solution looking for its problems. We cannot find a completely solution … More
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 … More
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
