Gradient Descent

Gradient descent is an iterative algorithm that aims to find values for the parameters of a function of interest which minimizes the output of a cost function with respect to a given dataset. Gradient descent is often used in machine learning to quickly find an approximative solution to complex, multi-variable problems. In my last article, Introduction to Linear Regression, I mentioned gradient descent as a possible solution to simple linear regression. While there exists an optimal analytical solution to simple [...]

By | 2017-08-03T16:23:44+00:00 August 3, 2017|Categories: Data Analysis, Machine learning, Python, Uncategorized|0 Comments

ggplot2 101 : Easy Visualization for Easier Analysis

Biological data are often easier to interpret and analyse when we can visualize them via a plot format. A good way of doing so is by exploiting the different options of ggplot2, a R plotting system. In the following post, I will present some of my go-to tricks to visualize data: nothing to fancy or to hard, perfect for both the R masters and the R beginners! The sample codes are in R and the ggplot2 library must be installed [...]

By | 2017-05-19T15:08:52+00:00 May 18, 2017|Categories: Data Analysis, Data Visualization, R, Uncategorized|0 Comments