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With networking applications, you canвЂ™t predict how many connections youвЂ™ll have in the future and how complex theyвЂ™ll get. We often deal with projects that face a high level of uncertainty. We couldnвЂ™t be more thrilled to be recognized by our users as a Graph Database Leader on G2 Crowd.ДЄre you happy with how things are going with ArangoDB so far, and have a few minutes to spare? Then take a break from coding and write a review about your experience on G2.

Whether itвЂ™s the Documentation Team or another department, weвЂ™d love to hear from you if youвЂ™re interested in joining Team Avocado! You can view all our open positions here.

#ARANGODB G2 SOFTWARE#

She is currently hiring a software engineer and technical writer to help continue her mission to improve the customer experience with great content and a slick, fast and powerful infrastructure (or in the words of Daft Punk, вЂњBetter, Faster, Stronger.вЂќ). She joined ArangoDB due the huge potential she sees for graph-powered analytics and machine learning, and views the job of the Documentation Team to bridge the gap between the product and its users. Since joining ArangoDB she has led several initiatives for the Documentation Team, including automating documentation releases and documentation restructuring. She earned her bachelorвЂ™s degree in communications and linguistics, and got into technical writing due to the unique blend вЂ“ and challenge вЂ“ of combining the written word with technology. Today weвЂ™d like to introduce you to Anastasia Soboleva, Documentation Team Lead.ДЄnastasia joined ArangoDB towards the end of 2021, bringing 13 years of technical writing experience to the Documentation Team. Team Avocado is continuing to grow! We have 20 open positions (almost all fully-remote) on our website across Customer Service, Engineering, Marketing, Product Management, and Sales.

June 22: OвЂ™Reilly Live Events вЂ“ Graph-Powered Machine Learning First Steps.

June 13: Data Day Texas вЂ“ Graph-Powered Machine Learning.

May 27-29: Machine Learning Prague 2022 вЂ“ Thinking outside of the Euclidean Space: An introduction study to Graph Machine Learning and its Applications.

May 19: KubeCon + CloudNativeCon Europe 2022 вЂ“ Transparent Live Migration of Services Between Kubernetes Cluster.

You can access ArangoDB Radio on popular podcast platforms such as Spotify, Google Podcasts and Stitcher, among others.

We discuss everything from knowledge graphs, digital twins, the democratization of data science, what it means for machine learning models to be вЂfairвЂ™, the current state of NLP, and the challenge of detecting sarcasm with sentiment analysis. Rachael Tatman, a Staff Developer Advocate at Rasa HQ, as well as Ashleigh Faith, the director of knowledge graph at EBSCO and founder of IsaDataThing, a youtube channel dedicated to data science content. Our most recent episodes feature guests such as Dr. Have you checked out our podcast, ArangoDB Radio, yet? Our goal is to predict missing links between a user and the movies they have not watched yet.

#ARANGODB G2 MOVIE#

We tackle the challenge of building a movie recommendation application by transforming it into the task of link prediction. In this blog post, we build a complete movie recommendation application using ArangoDB and PyTorch Geometric. Wednesday, May 4th 2022 вЂ“ 12:00pm in your local time zoneДЇrom the Blog: Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems He will also demonstrate how we can leverage graph embeddings with ArangoDBвЂ™s AQL query language. In this session, Sachin will put more light on this rapidly-growing area and its industrial and research applications. The terms graph embeddings and graph representation learning can be seen as synonyms to each other, where the key idea is to learn a mapping function that embeds nodes, or entire (sub)graphs (from non-euclidean), as points in low-dimensional vector space (to embedding space). Graph & Beyond Lunch Break #2.6: Graph Embeddings with AQL

Join our growing avocado grove (aka we are hiring !).

Listen to our brand-new podcast, ArangoDB Radio.

#ARANGODB G2 HOW TO#

Learn how to leverage ArangoDB with PyTorch Geometric to build recommendation systems.Register for our latest Graph & Beyond Lunch Break about graph embeddings with AQL.Welcome to the fifth ArangoDB newsletter of 2022.

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