Trends in Graph Machine Learning with Michael Bronstein - #446

By The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - 2021-01-11

Description

In this episode Sam is joined by Michael Bronstein, head of GraphML at Twitter, to discuss Trends in Graph Machine Learning in 2020

Summary

Orthogonal Matrix What is an Orthogonal Matrix?
In terms of geometry, orthogonal means that two vectors are perpendicular to each other.
Additionally you may select any two rows and find that the same property holds, as the transpose of an orthogonal matrix is itself an orthogonal matrix.
Because the transpose preserves the determinant, it is easy to show that the determinant of an orthogonal matrix must be equal to 1 or -1.

Topics

Machine_Learning (0.4)
Database (0.23)
NLP (0.14)

Similar Articles

Best Machine Learning Books (Updated for 2020)

By FloydHub Blog - 2020-03-05

The list of the best machine learning & deep learning books for 2020.

A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of

By Neo4j Graph Database Platform - 2020-12-30

Here are all the biggest Neo4j news stories from 2020, including new releases like Neo4j 4.0 and the Graph Data Science Library to the FinCEN Files coverage.

The Five Major Platforms For Machine Learning Model Development

By Forbes - 2020-12-19

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Top 25 Machine Learning Startups To Watch In 2021 Based On Crunchbase

By Forbes - 2021-01-13

Throughout 2020, venture capital firms continued expanding into new global markets, with London, New York, Tel Aviv, Toronto, Boston, Seattle and Singapore startups receiving increased funding.

Top 8 Books on Machine Learning In Cybersecurity One Must Read

By Analytics India Magazine - 2020-10-13

For a few years now, such utilisation of machine learning techniques has been started being implemented in cybersecurity.

A simple guide to AI, Machine Learning and Deep Learning

By datasciencecentral - 2020-10-30

This article was written on Graymatter. Let start at the beginning; back in the 50’s we dreamt about robots making our tea (AI) and what we could do with our…