Christopher Woodward, Author at ArangoDB

Who’s Who in Data Science

Christopher Woodward — Thu, 14 Apr 2022 15:04:10 +0000

Multiple data science personas participate in the daily operations of data logistics and intelligent business applications. Management and employees need to understand the big picture of data science to maximize collaboration efforts for these operations. This article will highlight the specialized roles and skillsets needed for the different data science tasks and the best tools…

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Community Notebook Challenge

Christopher Woodward — Fri, 13 Aug 2021 09:20:28 +0000

Calling all Community Members! 🥑 Today we are excited to announce our Community Notebook Challenge. What is our Notebook Challenge you ask? Well, this blog post is going to catch you up to speed and get you excited to participate and have the chance to win the grand prize: a pair of custom Apple Airpod…

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ArangoBNB Data Preparation Case Study: Optimizing for Efficiency

Christopher Woodward — Tue, 01 Jun 2021 17:40:00 +0000

Estimated reading time: 18 minutes This case study covers a data exploration and analysis scenario about modeling data when migrating to ArangoDB. The topics covered in this case study include: Importing data into ArangoDB Developing Application Requirements before modeling Data Analysis and Exploration with AQL This case study can hopefully be used as a guide…

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ArangoML Series: Multi-Model Collaboration

Christopher Woodward — Tue, 26 Jan 2021 18:45:36 +0000

Multi-Model Machine Learning This article looks at how a team collaborating on a real-world machine learning project benefits from using a multi-model database for capturing ML meta-data. The specific points discussed in this article are how: Be sure to check out the other posts in this series:ArangoML Part 1: Where Graphs and Machine Learning MeetArangoML…

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ArangoML Series: Intro to NetworkX Adapter

Christopher Woodward — Tue, 17 Nov 2020 18:25:00 +0000

This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: This notebook is just a slice of the full-sized notebook available in the ArangoDB NetworkX adapter…

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ArangoML Part 4: Detecting Covariate Shift in Datasets

Christopher Woodward — Thu, 05 Nov 2020 09:31:00 +0000

This post is the fourth in a series of posts introducing ArangoML and showcasing its benefits to your machine learning pipelines. Until now, we have focused on ArangoML’s ability to capture metadata for your machine learning projects, but it does much more. In this post we: Posts in this series:ArangoML Part 1: Where Graphs and…

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ArangoML Part 3: Bootstrapping and Bias-Variance

Christopher Woodward — Sat, 24 Oct 2020 08:22:00 +0000

This post is the third in a series of posts about machine learning and showcasing the benefits ArangoML adds to your machine learning pipelines. In this post we: Posts in this series:ArangoML Part 1: Where Graphs and Machine Learning MeetArangoML Part 2: Basic Arangopipe WorkflowArangoML Part 3: Bootstrapping and Bias VarianceArangoML Part 4: Detecting Covariate…

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ArangoML Part 2: Streamlining Machine Learning Workflows

Christopher Woodward — Fri, 09 Oct 2020 08:09:00 +0000

Estimated reading time: 1 minute This post is the second in a series of posts about machine learning and showcasing the benefits ArangoML adds to your machine learning pipelines. In this post we: Introduce machine learning concepts Demonstrate basic model building Log a model building activity with arangopipe Posts in this series: ArangoML Part 1:…

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ArangoML Part 1: Where Graphs and Machine Learning Meet

Christopher Woodward — Fri, 25 Sep 2020 07:53:00 +0000

This post is the first in a series of posts introducing ArangoML and showcasing its benefits to your machine learning pipelines. In this first post, we look at what exactly ArangoML is, with later posts in this series showcasing the different tools and use cases. If you have a use case you would like to…

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Best Practices for AQL Graph Queries

Christopher Woodward — Wed, 27 May 2020 11:26:56 +0000

The ArangoDB Query Language(AQL) was designed to accomplish a few important goals, including: The goal of this guide is to ensure that you get the most out of the above design goals, by providing some suggested best practices. Just like many programming languages, AQL allows the developer to format their code in whatever way comes…

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