When your everyday tasks scope includes lots of document editing, you realize that every document format requires its own approach and sometimes specific software. Handling a seemingly simple NEIS file can often grind the entire process to a halt, especially if you are trying to edit with insufficient tools. To prevent this sort of troubles, find an editor that can cover all your requirements regardless of the file extension and embed chart in NEIS with no roadblocks.
With DocHub, you will work with an editing multitool for just about any occasion or document type. Reduce the time you used to devote to navigating your old software’s functionality and learn from our intuitive interface design while you do the work. DocHub is a efficient online editing platform that handles all your document processing requirements for any file, including NEIS. Open it and go straight to efficiency; no prior training or reading instructions is needed to enjoy the benefits DocHub brings to papers management processing. Start with taking a few moments to create your account now.
See improvements within your papers processing immediately after you open your DocHub account. Save your time on editing with our one solution that will help you be more productive with any file format with which you need to work.
- So what Im going to be talking about in this session is graph embeddings. Some of you might have joined my earlier talk about machine learning with graphs. This is kind of a much more technical deep dive into one aspect of machine learning with graphs, which is graph embeddings which is basically a way of representing a graph so you can leverage that in a machine learning model, deep learning, calculate similarity. Im Alicia Frame, Im the lead data scientist at Neo4j. I work on the product team and my role is really to help build out our graph algorithms library and our future data science kind of features and roadmap. I also work with our early adopters to help them get up and running in production with graph algorithms and actually doing data science with Neo4j. Im super excited to share kind of a topic thats really close to my heart which is graph embeddings. So in this talk what Im going to be talking about it really starting off with what is an embedding? I think often th