Tag: Big data
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Using GraphQL to improve data hydration in our customer care platform and beyond
Posted on December 24, 2019, Level intermediate Resource Length long
Kunyao Liu from Uber Engineering about their Customer Obsession Engineering team and how they designed and developed a new web application to help solve customer support tickets with aggregated data hydrated across Uber's tech stack.
Tags big-data data-science cicd
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Kubernetes with OpenShift 101: Exercises to enhance your apps with machine learning
Posted on December 6, 2019, Level intermediate Resource Length medium
With containers, you can create a clean, virtual environment to set up and train your neural networks in. Then, you can deploy the neural networks at scale with the exact same same environment. Article by Mo Haghighi.
Tags machine-learning data-science big-data
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Explore and visualize a dataset with Python
Posted on November 29, 2019, Level beginner Resource Length medium
How to learn to create beautiful and insightful graphs with Python -- a code-along guide. By Fabian Bosler.
Tags big-data data-science python
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Create a voice-controlled device with Alexa and Arduino IoT Cloud in 7 minutes
Posted on November 27, 2019, Level intermediate Resource Length medium
Umbobaldi wrote this piece about official announcement of the official Arduino Amazon Alexa skill launch.
Tags data-science big-data machine-learning robotics
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How to become a data scientist
Posted on November 26, 2019, Level beginner Resource Length medium
Author heard a question how one can become a data scientist by many people in recent months. So he decided to spend a great deal of time making this guide so that most people have access to it. By Marcos Silva.
Tags data-science big-data machine-learning learning
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5 myths about strategy
Posted on November 22, 2019, Level beginner Resource Length medium
Stephen Bungay is author of this summary about 5 myths about strategy. According author there are lies, there are big lies, and then there are myths. And myths are the worst of the three.
Tags management big-data data-science miscellaneous agile teams
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Natural language processing for Node.js
Posted on November 21, 2019, Level intermediate Resource Length long
An article by Jordan Irabor about processing unstructured textual data using Natural language processing for Node.js.
Tags big-data data-science machine-learning robotics
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How to manage your machine learning workflow with DVC, Weights & Biases, and Docker
Posted on November 13, 2019, Level intermediate Resource Length medium
James Le wrote this article in which he wants to show 3 powerful tools to simplify and scale up machine learning development within an organization by making it easy to track, reproduce, manage, and deploy models.
Tags big-data machine-learning software-architecture
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Federated Learning: Challenges, methods, and future directions
Posted on November 12, 2019, Level beginner Resource Length medium
What is federated learning? How does it differ from traditional large-scale machine learning, distributed optimization, and privacy-preserving data analysis? Learn from the blog post by Carnegie Mellon University.
Tags machine-learning big-data data-science
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Using Tableau with Kafka: How to build a real-time SQL dashboard on streaming data
Posted on November 9, 2019, Level intermediate Resource Length medium
Scott Morris, Software Engineer at Rockset wrote this piece about building a real-time dashboard for operational monitoring and analytics on streaming event data from Kafka, which often requires complex SQL, including filtering, aggregations, and joins with other data sets.
Tags big-data data-science software-architecture apache
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Gentle introduction to Monte Carlo sampling for probability
Posted on November 4, 2019, Level intermediate Resource Length long
Jason Brownlee wrote this piece about Monte Carlo. Monte Carlo methods are a class of techniques for randomly sampling a probability distribution.
Tags big-data data-science machine-learning miscellaneous python
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Mocking is catching
Posted on November 1, 2019, Level intermediate Resource Length medium
When writing unit tests for a package, you might find yourself wondering about how to best test the behaviour of your package or you might even wonder how to test at least part of that package of yours that calls a web API or local database… without accessing the web API or local database during testing. By R-hub blog.
Tags programming tdd big-data data-science