|
|
May 19 · Issue #15 · View online
A weekly digest of all the best Data Science related news and blog posts.
|
|
Welcome to this week’s installment of my curated list of all the best data science related news and blog posts. Let’s get wild! 🌲🌲🌲
– Luis de Sousa
|
|
|
|
A Scalable End-to-End Anomaly Detection System using Azure Batch AI
The walkthrough and scripts can be found in the link above.
|
Getting Started with Machine Learning Services in SQL Server
The blog post covers how to install and enable Machine Learning Services in SQL Server.
|
Adding external images to R plots
Blog post covering how to add external images to R plots.
|
|
Conversational AI: Bot Building Tools
New Bot Building Tools Microsoft provides now include a set of rich command line tools that help create and manage bots and channel registrations, and manage AI connected services
|
Conversational AI and Authentication
Connecting your bot to resources like the Microsoft Graph API, LinkedIn, or Uber can be challenging. In this video, learn about the newly built-in authentication cards supported in Azure Bot Service,
|
|
AI for Good Summit Webcast Archives
Inspirational and informative discussions from this week’s AI for Good Global Summit in Geneva, on topics ranging from socially inclusive AI to data for good. Watch all the session on-demand in the link above.
|
eRum 2018
European R Users Meeting 2018 happened in Budapest, Hungary earlier this week. The videos are already available!!!
|
|
ageron/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
|
GoogleCloudPlatform/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
|
slundberg/shap
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
|
khanhnamle1994/fifa18
An exploratory data analysis and D3 data visualization project on FIFA 18 dataset.
|
|
AI Learns Painterly Harmonization
The paper “Deep Painterly Harmonization” is available here and its source code here.
|
Learning-to-See-in-the-Dark
This is a Tensorflow implementation of Learning to See in the Dark in CVPR 2018. Project Website and GitHub.
|
|
Measure What Matters: John Doerr
Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth–and how it can help any organization thrive. Audible and Kindle.
|
|
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
|
Did you enjoy this issue?
|
|
|
|
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
|
|
Johannesburg, South Africa, 2020
|