Posts

-- Introduction Conda in an open source package management system that works on all platforms. It is a tool that helps manage packages …

-- Overview Clustering Kmeans Algorithm Implementation Applications Geyser's Eruptions Segmentation Image Compression Evaluation …

Dropout is a regularization technique. On each iteration, we randomly shut down some neurons (units) on each layer and don't use those …

Bias-Variance Trade-off Generalization (test) error is the most important metric in Machine/Deep Learning. It gives us an estimate on …

Optimization, in Machine Learning/Deep Learning contexts, is the process of changing the model's parameters to improve its performance. …

In the previous post, Coding Neural Network - Forward Propagation and Backpropagation, we implemented both forward propagation and …

Why Neural Networks? According to Universal Approximate Theorem, Neural Networks can approximate as well as learn and represent any …

A/B testing can be defined as a randomized controlled experiment that allows us to test if there is a causal relationship between a …

Introduction The two most critical questions in the lending industry are: 1) How risky is the borrower? 2) Given the borrower's risk, …

Iphone’s text suggestion. -- Have you ever wondered how Gmail automatic reply works? Or how your phone suggests next word when …