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April 27 · Issue #12 · View online
A weekly digest of all the best Data Science related news and blog posts.
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Welcome to this week’s installment of my curated list of all the best data science related news and blog posts. Step up to the plate! 👣👣👣 – Luis de Sousa
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Deep Learning for Emojis with VS Code Tools for AI | Machine Learning Blog
This blog post, showed you how to build a recipe prediction model using Visual Studio Code Tools for AI using deep learning for Emojis. This provides a framework for agile experimentation with fast iterations and provides an easy path for scaling up and out to remote environments such as Data Science VMs with GPUs. [ GitHub]
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R 3.5.0 is released! (major release with many new features)
The new R 3.5.0 brings significant performance and memory improvements
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Transfer Learning for Text using Deep Learning Virtual Machine (DLVM)
We’ve all heard a lot about transfer learning on images. But what about transfer learning on text? This blog post explores different MRC models to help us do transfer Learning on text data.
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Practical Advice for Building Deep Neural Networks – Perception, Control, Cognition
Great post on building, and debugging, your deep learning model.
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AI, machine learning and the reasoning machine with Dr. Geoff Gordon
Dr. Geoff Gordon of explains why collaboration is essential to machine learning innovation.
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Microsoft brings AI-powered translation to end users and developers, whether you’re online or offline
Microsoft Translator has added new capabilities that allow users and developers to get artificial intelligence-powered translations whether or not they have access to the Internet.
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Social Good at Cloud Scale - a talk at MLPrague 2018, and supporting materials.
Mike Lanzetta’s talk on social good at cloud scale using machine learning and deep learning.
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2018 AnacondaCON videos
Video’s of the sessions presented at AnacondaCON 2018.
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Machine Learning Yearning
Free draft copy of Andrew Ng’s book - Machine Learning Yearning! Book “is focused not on teaching you ML algorithms, but on how to make ML algorithms work. Some technical AI classes will give you a hammer; this book teaches you how to use the hammer” (Thanks Handre Williams for the recommendation)
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AI Learns Real-Time 3D Face Reconstruction
The paper “Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network” and its source code is available here.
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AI Photo Translation
The paper “Toward Multimodal Image-to-Image Translation” and its source code is available here.
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abhirupdatta/spatial-statistics-2018
Course materials for geostatistics using Gaussian Processes.
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Azure/MachineLearningSamples-tf
This sample uses the popular TensorFlow machine learning library from Google to classify the ageless MNIST dataset of handwritten digits.
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Microsoft/VoTT
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. This tool provides end to end support for generating datasets and validating object detection models from video and image assets.
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Azure/AI-PredictiveMaintenance
Azure AI Predictive Maintenance (PdM) Solution Template.
This solution template provides a proof-of-concept (POC) implementation of an end to end PdM solution template for the scenario: Predict the probability that a piece of equipment fails within a future time period.
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A “Weird” Introduction to Deep Learning
Introduction and links collection for Deep Learning.
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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. xoxo
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Johannesburg, South Africa, 2020
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