Last Updated on August 14, 2020 In this post, we will take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of what methods are available. There are so many algorithms that it can feel overwhelming when algorithm names are thrown around and you are expected to just know what they are and where they fit. I want to give you two ways to think about […]

Last Updated on August 19, 2020 What if I have more Columns than Rows in my dataset? Machine learning datasets are often structured or tabular data comprised of rows and columns. The columns that are fed as input to a model are called predictors or “p” and the rows are samples “n“. Most machine learning algorithms assume that there are many more samples than there are predictors, denoted as p > n. These problems often require specialized data preparation and […]

Last Updated on August 19, 2020 Machine learning involves the use of machine learning algorithms and models. For beginners, this is very confusing as often “machine learning algorithm” is used interchangeably with “machine learning model.” Are they the same thing or something different? As a developer, your intuition with “algorithms” like sort algorithms and search algorithms will help to clear up this confusion. In this post, you will discover the difference between machine learning “algorithms” and “models.” After reading this […]