Author(s): Saniya Parveez Machine Learning Gradient descent is a very popular and first-order iterative optimization algorithm for finding a local minimum over a differential function. Similarly, the Normal Equation is another way of doing minimization. It does minimization without restoring to an …

Author(s): Da Guo An anomaly detection project on traffic congestion duration. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …

Author(s): Sherwin Chen Machine Learning A gentle introduction to the Never Give Up(NGU) agent Image by Gerd Altmann from Pixabay Modern deep reinforcement learning agents often do well in either exploration or exploitation. Agents like R2D2 and PPO can easily achieve super-human performance on …

Author(s): Pratik Shukla Machine Learning With Step-By-Step Mathematical Derivation Source: Unsplash Index: Basics Of Gradient Descent. Basic Rules Of Derivation. Gradient Descent With One Variable. Gradient Descent With Two Variables. Gradient Descent For Mean Squared Error Function. What is Gradient Descent? Gradient Descent is …

Author(s): Irfan Danish Machine Learning Introduction to Neural Networks and Their Key Elements (Part-C) — Activation Functions & Layers In the previous story we have learned about some of the hyper parameters of an Artificial Neural Network. Today we’ll talk about activation functions and Layers, …

Author(s): Gautam Kmr Machine Learning Support Vector Machine — Insights I have talked about Linear regression and Classification on my prior articles. Before we take on to Support Vector Machine (aka SVM), let’s first understand what it does. The objective of the support vector …