Day: March 24, 2020

Privacy TensorFlow

Building Differentially Private Machine Learning Models Using TensorFlow Privacy

Towards Data Science highlights this talk from the Toronto Machine Learning Summit, which introduces differential privacy and its use cases, discuss the new component of the TensorFlow Privacy library, and offer real-world scenarios for how to apply the tools. In recent years, the world has become increasingly data-driven and individuals and organizations have developed a […]

Read More
AI DevOps

Create Event Driven Machine Learning Workflows

In this video, learn how you can use Azure Event Grid and Azure Machine Learning to trigger and consume machine learnings events. We talk about why eventing is important and how you can enable scenarios such as run failure alerts and retraining models. Jump To: [00:50] What is Event Grid? [01:32] Why is this useful? […]

Read More

How to Build On Mars

Swarms of robots 3D printing from martian dust, cutting-edge engineering, NASA-recognised designs and inflatable pods that feel just like home. This is how we build on Mars. Read the full story on this video, including images and useful links, here –  

Read More
Python Reinforcement Learning

Deep Q Learning is Simple with PyTorch

Machine Learning with Phil has a great tutorial on how to do Deep Q Learning in PyTorch. The PyTorch deep learning framework makes coding a deep q learning agent in python easier than ever. We’re going to code up the simplest possible deep Q learning agent, and show that we only need a replay memory […]

Read More