Structuring a Machine Learning Project: A Guide Inspired by Trello's Project Planning
Taking inspiration from a Trello board, we've broken down the stages of structuring a machine learning project.
ML101
Learn about Neutral Turing Machine(NTM)
This post introduces the recurrent neural network model of a Turing Machine - Neural Turing Machine. Read on to learn about NTMs.
Learn about Gradient Boosting
This article gives you a tour through one of the most powerful ML algorithms of all time, 'Gradient Boosting'. Read on, to learn the workings, pros, and cons & more.
Learn about Support Vector Machines
Support vector machines (SVMs) are powerful yet flexible supervised machine learning algorithms that are used both for classification and regression. But generally, they are used in classification problems.
Learn about K-Means Clustering
K-means clustering is a method of unsupervised learning used when you have unlabeled data. A typical unsupervised algorithm assumes that the output has been labeled without considering the input vectors.
