Artificial-Intelligence-Research

notes and coding examples for artificial intelligence research, machine learning, deep learning, reinforcement learning

You will find code examples. for instance MNIST training using tensorflow.js, linear regression examples are also provided using tensorflow.js and python scikit learn. Also see linked gist examples in the wiki.

This repository currently is comprised of the wiki, link is above. A collection of articles and howto's on AI for software engineers, kinda like how to build a car if your a mechanic level of writing. In addition, there are chapters from a book dealing with Artificial Intelligence and Neuroweapons I am currently writing.

AI Wiki for Software Engineers

Table of Contents

Linear Regression

Classification: Logistic Regression, K-Nearest Neighbor Clustering, Naive Bayes (Topics), Support Vector Machines

Deep Learning

Deep Reinforcement Learning and OpenAI Gym

Evolutionary Computation: Genetic Algorithms, Genetic Programming and Neuroevolution

Visual AI: Convolutional Neural Networks, Image Recognition and Generative Adversarial Networks

AI and Robotics: Robot Operating System (ROS), Drones, Swarming and Hive Minds

AI and Cybersecurity

Battlespace of Mind: AI and Cybernetics in Information Warfare (rough drafts)

this is a book the goes into AI, Cybernetics and Quantum Effects in the pursuit of Information Warfare, previously a part of this project.

this section has moved to 'Battle Space of Mind' https://github.com/autonomous019/Battlespace-of-Mind