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Issue #35

Jan 26, 2020
Dear friends,

Welcome to the Jan 26 edition of the Sunday Briefing. This week we look at the Economics and Ethics of AI,  a new service by google that allows you to quickly search millions of online datasets and an application of Graph Theory to find cheap flights for your next vacation.

On the more academic side, we explore how Amazon uses formal methods internally, how Neural Language Models Scale and how Neural Embeddings can help us identify the structure of academic disciplines.

Finally, in the video of the week, Judea Pearl guides us through The Mathematics of Causal Inference: with Reflections on Machine Learning in preparation for our blog post series on Causal Inference that we'll start posting later this week.

If you think one of your friends or colleagues would enjoy this newsletter, just go ahead and forward this email to them and help us grow!

Semper discentes,

The D4S team
As we announced a few weeks ago, we are preparing a few changes to the format and content of the newsletter. Today we are happy to announce one of the biggest one. Starting later this month, we will be posting (here) our very own blog articles. Among other one-off type articles exploring different ideas, we will have series that cover the content of books in a programmatic way. These will serve both as inspiration to future training events and as clarification and an expansion of existing content. 
 
The first book we will cover will be Judea Pearls's Causal Inference in Statistics - A Primer (affiliate link) a short and to the point introduction to Causality.  We invite you to follow along and send use your comments and suggestions. Naturally, having a physical copy of the book is not a requirement, but it's highly recommended as it makes it easier to follow along.

Top Links:

Tutorials and blog posts that came across our desk this week.
  1. The Economics of AI Today [thegradient.pub]
  2. Emil’s Story as a Self-Taught AI Researcher [floydhub.com]
  3. RyanAir, Hamiltonian Cycles, and using Graph Theory to find cheap flights [jonlu.ca]
  4. The battle for ethical AI at the world’s biggest machine-learning conference [nature.com]
  5. Discovering millions of datasets on the web [blog.google]
  6. Machine Learning: The Big Picture [towardsdatascience.com]
  7. Bayesian Neural Networks Need Not Concentrate [jacobbuckman.com]

Fresh off the press:

Some of the most interesting academic papers published recently.

Video of the week:

Interesting discussions, ideas or tutorials that came across our desk.


The Mathematics of Causal Inference: with Reflections on ML
https://www.youtube.com/watch?v=bcRl7sXR1hE

Upcoming Events:

Opportunities to learn from us
  1. Jan 27, 2020 - Applied Probability Theory for Everyone [SOLD OUT] 
  2. Feb 10, 2020 - Natural Language Processing (NLP) for Everyone[Register] 🆕
  3. Feb 28, 2020 - Graphs and Network Algorithms for Everyone [Register] 🆕
  4. Mar 15-16, 2020 - Time series modeling: ML and deep learning approaches - Strata/AI [Register] 
Thank you for subscribing to our weekly newsletter with a quick overview of the world of Data Science and Machine Learning. Please share with your contacts to help us grow!

Publishes on Sunday.
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