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Tag: data science
This Week in Neo4j: Bloom 2.3, Graph Data Science, Java, AWS, Python, Ontology, Microservices, and More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. Graph Data Science features are now available in Bloom 2.3! Just select the Graph Data Science icon and choose from the available algorithms. The GDS plugin needs to be installed on the database for self-managed users, or you can use AuraDS.
To get an idea of what Bloom and Graph Data Science are capable of, read Zach Blumenfeld ’s blog on using graph technology on a freight forwarding logistics network. In this first blog in the series, he gets us started with experimentation and visualization of supply chain data using ... Read More
Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. All great things come in pairs:
Peanut butter and jelly (or jam, for our international readers)
Fish and chips
Gin and tonic
Simon and Garfunkel
And the list goes on… Well, for some time now, Neo4j Bloom has been a great companion to Neo4j Graph Data Science. For example, by enriching nodes with the Graph Data Science library outputs like centrality measures or community algorithms, users can apply rule-based styling in Bloom to easily visualize results. And that’s just the tip of the iceberg.With today’s latest release of Neo4j Bloom 2.3, we ... Read More
Graph Data Science on Google Cloud: Neo4j AuraDS and Vertex AI

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings.That blog post garnered a lot of attention from data scientists looking to amplify their machine learning (ML) pipelines by feeding knowledge (graph features) of the graph to enhance the ML model’s predictability.Since then, Neo4j released a new 2.0 version of the Neo4j Graph Data Science Platform. This makes it incredibly simple to get started on Google Cloud with the general availability ... Read More
Grow Your Data Science Skills With Academy
Feed: R-bloggers. Author: RStudio | Open source & professional software for data science teams on RStudio. Photo by corina ardeleanu on Unsplash We recently announced Academy, a new educational experience that my colleagues and I have been building for teams to learn data science in the most efficient way possible. If you’ve been meaning to learn R, you can try Academy for yourself as an individual enrollee through this summer’s rstudio::conf’s workshop, Introduction to the Tidyverse. Academy gets all learners up and running with data science quickly – whether you’re new to R or new to programming. I’m a data ... Read More
Designing the Data Science Classroom Workshop at rstudio::conf(2022)
Feed: R-bloggers. Author: RStudio | Open source & professional software for data science teams on RStudio. The data science ecosystem is constantly evolving. Packages are updated, new software is released, and fresh strategies are developed. For educators, the speed of the changes can be dizzying. They must stay proficient in their skills and informed on the advancements in teaching statistics and data science. We’ve been busy here at RStudio and wanted to share some exciting new tools and features for those teaching data science. If these tools pique your interest, we are hosting a workshop on Designing the Data Science ... Read More
Top 5 Data Science Take-Home Challenges in R Programming Language
Feed: R-bloggers. Author: Dario Radečić. Data Science take-home challenges will definitely get you out of your comfort zone. But you know what? That’s a good thing – it’s the only zone in which you’ll learn something, after all. Taming the take-home challenges is necessary both for beginner and advanced R programmers, but the challenges you’ll work on vary significantly depending on your skill level. Today we bring you 5 data science take-home challenges in R programming language aimed toward complete beginners and those with a couple of years of industry experience. None of the challenges require any domain knowledge, so ... Read More
The social impact of data science: improving the mental health for cancer patients with AI

Feed: SAS Blogs. Author: Marinela Profi. Read more stories from this series about successful SAS Hackathon teams A cancer journey affects both physical and mental health. This often results in feelings of social isolation, loss of identity, clinical depression and even PTSD. This often goes unrecognized and undiagnosed due in part to lack of resources, tools and time. Swedish startup War On Cancer wondered whether they could help those affected by cancer get a preventive diagnosis and mental health support. They also wanted to help health professionals in their mission to help save lives. With these questions and goals in ... Read More
The Data Economy: How Novartis is Becoming a Data Science Company with AI Innovations
Feed: Redis. Author: Isaac Sacolick. The Data Economy is a video podcast series about leaders who use data to make positive impacts on their business, customers, and the world. To see all current episodes, explore the podcast episodes library below. “The decisions that we make based on the models will affect patients’ lives.” Bülent Kiziltan, Ph.D., Head of Causal and Predictive Analytics at Novartis’ AI and innovation lab, shared this important point during his recent interview on The Data Economy CXO podcast, presented by Redis and hosted by Michael Krigsman of CXOTalk. A big part of the AI lab’s mission ... Read More
Advocate for Data Science at Your Organization
Feed: R-bloggers. Author: RStudio | Open source & professional software for data science teams on RStudio. Introducing rstudio.com/champion Let’s admit it. Getting to use the tools you want sometimes needs a little convincing. Since coming onboard in 2017, I’ve had the opportunity to meet so many wonderful people from the community. People that: organize meetups in their own communities, spend time after-hours teaching their co-workers, solve business problems at work with Shiny, write blog posts to help others, and so much more. They might be titled data scientists, but don’t have to be. They are clinicians, psychologists, economists, marketers, consultants, ... Read More
This Week in Neo4j: Announcing Graph Data Science 2.0 and AuraDS Releases!!!
Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. The big news this week for Neo4j was two major releases: Graph Data Science (GDS) 2.0 and AuraDS. GDS 2.0 brings a ton of new features, such as improvements to similarity algorithms, unified machine learning pipelines, and simplified graph projections using Cypher. Another big highlight in this release is a native Python client that allows you to establish a connection to your database and easily call GDS procedures without having to configure a driver or manage transaction functions. AuraDS is the new managed service for graph data science. Like AuraDB, it provides ... Read More
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