AMAI-GmbH/AI-Expert-Roadmap

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! )

Complete Free Coding Bootcamp 2020 MERN Stack (For Beginners)

Materials for the Call for Code 2020 solution starter kit for crisis communication in the context of COVID-19.

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Hands-On Artificial Intelligence for Cybersecurity, publised by Packt

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

Open Cyber Threat Intelligence Platform

VIP cheatsheets for Stanford’s CS 221 Artificial Intelligence

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.