A Repository for Attacking Machine Learning with Adversarial Examples
A pytorch adversarial library for attack and defense methods on images and graphs - DSE-MSU/DeepRobust... (more…)
Read more »New Ways to Optimize Machine Learning
Different approaches for improving performance and lowering power in ML systems. Read more
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The 78-video playlist above comes from a course called Neural Networks for Machine Learning, taught by Geoffrey Hinton, a computer science professor at the University of Toronto. The videos were created for a larger course taught on Coursera, which gets... (more…)
Read more »10 Steps to Train an Effective Chatbot and Its Machine Learning Models
Join IBM Watson Solution Architect Joe Kozhaya as he guides you through the 10 step process of training your chatbot to improve its customer performance! (more…)
Read more »Google Cloud Announces Machine Learning Startup Competition
Google Cloud is excited to announce a Machine Learning Startup Competition in collaboration with venture capital firms Data Collective and Emergence Capital. (more…)
Read more »Physics Data for Machine Learning
Contribute to erum-data-idt/pd4ml development by creating an account on GitHub. (more…)
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