Decision trees are still hot topics nowadays in data science world. Here, ID3 is the most common conventional decision tree algorithm…
Random Initialization in Neural Networks
Neural networks requires to apply several state-of-the-art techniques such as choice of activation function, or network design to push their…
How Vectorization Saves Life in Neural Networks
Developers tend to handle problems with conditional statements and loops. This is the number one topic of developers and data…
A Step By Step Bitcoin Address Example
A money transfer transaction must include sender and receiver account information and transaction amount. On the other hand, a bitcoin…
Convolutional Autoencoder: Clustering Images with Neural Networks
Previously, we’ve applied conventional autoencoder to handwritten digit database (MNIST). That approach was pretty. We can apply same model to…
Autoencoder: Neural Networks For Unsupervised Learning
Neural networks are like swiss army knifes. They can solve both classification and regression problems. Surprisingly, they can also contribute…
Handling Overfitting with Dropout in Neural Networks
Overfitting is trouble maker for neural networks. Designing too complex neural networks structure could cause overfitting. So, dropout is introduced to…
IBM Data Summit 2018 Istanbul Notes
IBM organized a data summit on March 15 in this year. Motto of the organization is plan, manage and optimize. Both…
Oracle Analytics Summit 2018 Istanbul
Oracle Analytics Summit is held in Istanbul on 2018 Mar, 07. I have been attending this summit since 2016. I…
Solving Elliptic Curve Discrete Logarithm Problem
Elliptic curve cryptography is powerful. Calculating public key from known private key and base point can be handled easily. On…
