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March 31 · Issue #8 · View online
A weekly digest of all the best Data Science related news and blog posts.
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Q: What does the zero say to the the eight?
A: Nice belt! Welcome to this weeks installment of my curated list of all the best data science related news and blog posts for the week. Enjoy the Easter break.🐰🐰🐰🐰🐰🐰🐰🐰 – Luis de Sousa
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reticulate: R interface to Python
A comprehensive set of tools for interoperability between Python and R. Allowing us to call Python from R, translation between R and Python objects and flexible binding to different versions of Python.
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Four Big Bets For Better AI Research: A Personal Journey
Sumit Gulwani, Partner Research Manager as Microsoft, discusses his personal research journey and Four Big Bets For Better AI Research. Blog post and YouTube video.
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Training Many Anomaly Detection Models using Azure Batch AI
A walk through of a simple scalable solution that can handle thousands or even millions of sensors in an IoT setting. I will show how you can train many anomaly detection models (one model for each sensor) in parallel using Azure’s Batch AI. Source code on GitHub
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Generate image captions with the Computer Vision API
The Azure Computer Vision API can easily extract all sorts of interesting information from images.
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Stephen Few on Logarithmic Confusion
“The recent emphasis on data storytelling has led to a reduction in clear and accurate truth telling. When I was young, to say that someone “told stories” meant that they made stuff up”.
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An Introduction to Machine Learning Interpretability
A free O'Reilly ebook on Machine Learning interpretability with open source code examples.
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Operationalization of ML model using Azure ML and Kubernetes cluster [Part 4/4]
This episode of the AI Show is the fourth (final) episode in a series talking about the Azure ML Services. The new Azure Machine Learning Services provide an integrated, end-to-end data science experiment.
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Academic Research Summit 2018: A Future with AI
The Academic Research Summit series is a forum to foster meaningful discussion and discussion among the Indian Computer Science research community and enable collaborations to advance the state of the art and raise the bar on research efforts.
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DeepMind's AI Learns Complex Behaviors From Scratch
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Microsoft/bond
Bond is a cross-platform framework for working with schematized data. It supports cross-language de/serialization and powerful generic mechanisms for efficiently manipulating data. Bond is broadly used at Microsoft in high scale services.
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Microsoft/graph-partition-neural-network-samples
Sample Code for Graph Partition Neural Networks
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Microsoft/azure-python-redis-queue-processor
High scale Redis RQ based parallel job processing example written in Python running on Azure Linux VMs.
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Microsoft/PowerBI-visuals-outliers-det
Find outliers in your data, using the most appropriate method and plot.
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billcccheng/instagram-terminal-news-feed
Python code to display Instagram in terminal.
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orsinium/textdistance
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface.
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Human + Machine: Reimagining Work in the Age of AI - by Paul R. Daugherty, H. James Wilson
Human + Machine: Reimagining Work in the Age of AI - Kindle edition by Paul R. Daugherty, H. James Wilson. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Human + Machine: Reimagining Work in the Age of AI.
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James Martin 952 - YouTube
This really is the most WTF moment ever on Countdown (UK, 1997). A more in-depth analysis can be found here.
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Thanks for reading. As always, let us know if you have any questions or suggestions, just hit reply, click the thumbs up or thumbs down icons below or send us an email at luisd@syeop.co.za.
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Johannesburg, South Africa, 2020
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