Implementing LSTM Networks in Python with Keras

27 mins read A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because […]

How to reshape Input Data for Long Short-Term Memory (LSTM) Networks in Keras

9 mins read It can be difficult to understand how to prepare your sequence data for input to an LSTM model. Often there […]

A complete guide to understanding Long Short Term Memory (LSTM) Networks

37 mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]

Understanding L1 and L2 as Loss Function and Regularization

6 mins read While practicing machine learning, you may have come upon a choice of the mysterious L1 vs L2. Usually, the two […]

Different missing data mechanisms

3 mins read Missing data mechanisms concern the relationship between missing data and the values of variables in the data matrix. Given this focus, […]

Kernel Density Estimation (KDE) in Python

10 mins read Nonparametric Density Estimation In some cases, a data sample may not resemble a common probability distribution or cannot be easily […]

Implementations of Mutual Information (MI) and Entropy in Python

8 mins read In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual […]