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June 10 · Issue #18 · 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. If you appreciate the curated content I send out, please consider buying me a coffee here☕. You won’t find all this udder goodness anywhere else. 🐄🐮🥛
– Luis de Sousa
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Merge branch 'asdfasjkfdlas/alkdjf' into sdkjfls-final
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Free E-Book: A Developer’s Guide to Building AI Applications
This e-book provides a gentle introduction to the tools, infrastructure and services in the Microsoft AI Platform that allow you to create intelligent applications.
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Deep Learning with R
Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. 🐍 Python version here. |
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Release Microsoft R Open 3.5.0
Microsoft R Open 3.5.0 was released and this update includes the R 3.5.0 open-source engine with some major performance and memory-use benefits. Microsoft R Open 3.5.0 points to a fixed CRAN snapshot taken on June 1 2018.
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What's new in Azure for Machine Learning and AI
David Smith and Tim Heuer summarised some of the big announcements at Microsoft Build in a recent webinar. Slides and a link to the recordings are available.
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Deep Learning for Emojis with VS Code Tools for AI – Part 2
In this second installment we are shown how to operationalise a recipe prediction model using Visual Studio Code Tools for AI. We’re all set to build and deploy your own models!
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This AI Learned To See In The Dark | Two Minute Papers #253
The paper “Learning to See in the Dark” and its source code is available here. |
Impersonate Anyone With This Technique | Two Minute Papers #254
The paper “HeadOn: Real-time Reenactment of Human Portrait Videos” is available here. |
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Image and Text Moderation with Content Moderator
In this video we get an overview of Content Moderator API and learn about it’s image and text moderation capabilities.
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Video Moderation with Content Moderator
In this video, we will get an overview of Content Moderator and learn about its video moderation capabilities. The video covers the API and the human review capabilities in Content Moderator.
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Mobile Chest X-Ray Analysis, a Microsoft Garage Project
Members of the Microsoft Garage internship program in Vancouver are on the Xamarin Show speaking about there Mobile Chest X-Ray Analysis project.
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ropensci/drake: An R-focused pipeline toolkit for reproducibility and high-performance computing
Stop writing r scripts and start writing drake workflows. This package is amazing and will not only save you countless hours of compute time, but also encourage you to design your analysis code better.
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higgsfield/RL-Adventure-2: PyTorch0.4 tutorial
PyTorch0.4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay.
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Pulkit-Khandelwal/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto’s book and other research papers implemented in Python.
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pbiecek/DALEX: Descriptive mAchine Learning EXplanations
DALEX explaines black-box models. It’s a methodology for better diagnostic of any back-box model. Check out there eRUM talk 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. xoxo
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Johannesburg, South Africa, 2020
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