In order theory, a branch of mathematics, an order embedding is a special kind of monotone function, which provides a way to include one partially ordered set into another. Like Galois connections, order embeddings constitute a notion which is strictly weaker than the concept of an order isomorphism. Both of these weakenings may be understood in terms of category theory. (Wikipedia).
Excel - Embed a PDF in Excel - Podcast #1466
Can you embed a PDF in an Excel worksheet? Yes - Using the 'Insert Object' Menu Tab. Follow along with Bill, in Episode #1466, as he shows us how to embed a PDF in our Worksheet. ...This blog is the video podcast companion to the book, Learn Excel 2007 through Excel 2010 from MrExcel. D
From playlist Excel General
Rasa Algorithm Whiteboard - Understanding Word Embeddings 1: Just Letters
We're making a few videos that highlight word embeddings. Before training word embeddings we figured it might help the intuition if we first trained some letter embeddings. It might suprise you but the idea with an embedding can also be demonstrated with letters as opposed to words. We're
From playlist Algorithm Whiteboard
PowerPoint Quick Tip: Embed Fonts Within a File
In this video, you’ll learn more about embedding fonts within a file. Visit https://www.gcflearnfree.org/powerpoint-tips/embed-fonts-within-a-file/1/ to learn even more. We hope you enjoy!
From playlist Microsoft PowerPoint
How to Embed a Twitter Feed to a Google Sites Page
How to embed a Twitter feed (widget) directly into a Google Site page. Duane Habecker: https://about.me/duanehabecker Twitter: @dhabecker
From playlist EdTech Stuff
EmberConf 2017: Higher Order Components by Miguel Camba
Higher Order Components by Miguel Camba Since the component keyword and the hash helper were introduced to the framework, a whole new realm of APIs has become possible and yet the broader community has yet to fully embrace these powerful abstractions. With this talk I will help to spread
From playlist EmberConf 2017
EmberConf 2014 Ember Components Transclude My Directives by John Paul
I know this is out of left field, but I'd like to teach you all some Angular, and in the process, bring you to a love of Ember Components unseen since Leo sank into his watery grave for Kate. We all make fun of directives and transclusion, but Ember has very equivalent features, which much
From playlist EmberConf 2014
EMBERCONF 2015 - THE ART OF EMBER DEPLOYMENT
BY: LUKE MELIA My team and I decided to invest in making our deployments awesome. When I told people about our approach, the community responded with excitement and new OSS implementations. This talk will show you how to make your team’s deployments delightful and empowering instead of s
From playlist EmberConf 2015
EMBERCONF 2015 - BUILDING CUSTOM APPS WITH EMBER CLI
BY: BRITTANY STOROZ Not long ago, the JavaScript world lacked a good Rails equivalent. Ember CLI is quickly filling this void, and consistently improving thanks to its extensibility. The tool can be easily tailored to build for custom environments by creating new add-ons and leveraging ex
From playlist EmberConf 2015
EmberConf 2016: An Illustrated Guide to Ember by Brigitte Warner
We'll approach Ember as an illustrated fairy tale: drawing upon the power of story telling to describe the creation of an Ember application through its inciting incident, caste of characters (object model), and the conflicts that arise and how our heroine overcomes them through wit and cle
From playlist EmberConf 2016
How Uber uses Graph Neural Networks to recommend you food (live stream)
Ankit Jain presents his team's work at Uber with operationalizing GraphSAGE to power Uber Eats recommendations. Blog post: https://eng.uber.com/uber-eats-graph-learning/. Join my FREE course Basics of Graph Neural Networks (https://www.graphneuralnets.com/p/basics-of-gnns/?src=yt)! Ank
From playlist Graph Neural Networks
Positional embeddings in transformers EXPLAINED | Demystifying positional encodings.
What are positional embeddings / encodings? 📺 Follow-up video: Concatenate or add positional encodings? Learned positional embeddings. https://youtu.be/M2ToEXF6Olw ► Outline: 00:00 What are positional embeddings? 03:39 Requirements for positional embeddings 04:23 Sines, cosines explained
From playlist The Transformer explained by Ms. Coffee Bean
Gabriel Goldberg: The Jackson analysis and the strongest hypotheses
HYBRID EVENT Recorded during the meeting "XVI International Luminy Workshop in Set Theory" the September 13, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematician
From playlist Logic and Foundations
Vision Transformers (ViT) Explained + Fine-tuning in Python
Vision and language are the two big domains in machine learning. Two distinct disciplines with their own problems, best practices, and model architectures. At least, that was the case. The Vision Transformer (ViT) marks the first step towards the merger of these two fields into a single u
From playlist Computer Vision and Search Course
Transfer learning and Transformer models (ML Tech Talks)
In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer. 0:00 - Intro 1:07 - Encoding text 8:21 - Langu
From playlist ML & Deep Learning
Self-Attention with Relative Position Representations – Paper explained
We help you wrap your head around relative positional embeddings as they were first introduced in the “Self-Attention with Relative Position Representations” paper. Related videos: 📺 Positional embeddings explained: https://youtu.be/1biZfFLPRSY 📺 Concatenated, learned positional encodings
From playlist The Transformer explained by Ms. Coffee Bean
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 4 - Non-Parametric Meta-Learners
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Assistant Professor Chelsea Finn, Stanford University http://cs330.stanford.edu/
From playlist Stanford CS330: Deep Multi-Task and Meta Learning
George Booth - A rigorous framework for embedding realistic interacting quantum systems - IPAM UCLA
Recorded 01 April 2022. George Booth of King's College London presents "A rigorous framework for embedding realistic interacting quantum systems" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Abstract: We will discuss a recent reformulation of quantum embedding suitable fo
From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 5 - features
Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/
From playlist Stanford EE104: Introduction to Machine Learning Full Course
How to Embed a Twitter Feed to a WordPress Post
How to embed a Twitter feed (widget) directly into a WordPress post. Duane Habecker: https://about.me/duanehabecker Twitter: @dhabecker
From playlist EdTech Stuff