Learning Archive

Workflow of a Machine Learning Project

Author(s): Raman Kumar Jha Machine Learning Machine learning algorithms can learn from A to B or input to output mapping. If we take an example of a speech recognition software like Amazon Echo/Alexa, Google Home, Apple Siri

Deep Learning For Computer Vision

Author(s): Nour Islam Mokhtari Common trends and techniques in the industry from an AI engineer Continue reading on Towards AI » Published via Towards AI

Decision Trees vs. Random Forests in Machine Learning

Author(s): Amit Chauhan Understand two supervised learning algorithms Continue reading on Towards AI » Published via Towards AI

Understand Generative Adversarial Network (GAN) in Deep Learning

Author(s): Amit Chauhan Generating artificial images in the deep convolutional neural network model Continue reading on Towards AI » Published via Towards AI

OpenAI Wants to Improve Exploration in Reinforcement Learning Models by Using Noise

Author(s): Jesus Rodriguez The method known as Parameter Space Noise addresses the important exploration-exploitation challenge in reinforcement learning agents. Continue reading on Towards AI » Published via Towards AI

Understand Feature Selection in Machine Learning with Python

Author(s): Amit Chauhan Techniques of choosing the best set of features from the data Continue reading on Towards AI » Published via Towards AI

Automatic Differentiation in Machine Learning

Author(s): Nathaniel J Understanding how Machine Learning models learn. Continue reading on Towards AI » Published via Towards AI

5 Useful Encoding Techniques in Machine Learning

Author(s): Amit Chauhan A pre-processing step in machine learning modeling Continue reading on Towards AI » Published via Towards AI

How Machine Learning and AI Personalize Automotive Applications

Author(s): Behzad Benam Passengers and drivers can enjoy more services with new AI applications Continue reading on Towards AI » Published via Towards AI

A Discourse on Reinforcement Learning

Author(s): Yalda Zadeh An Illustration of our Expansive Setting [ Image by author ] — We have a set of agent(s) and an environment (consisting of multiple objects) as two disjoint entities. The aim of the agent(s) is to