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Issue #34

Jan 19, 2020
Dear friends,

Welcome to the latest issue of the Sunday Briefing. In this weeks newsletter we continue our exploration of the fundamental ideas of Machine Learning with an overview of gradient descent methods, a guided tour of overfitting and some new ideas on how the arms of neurons can house significant computational power.

Network Science is one of our favorite topics here at D4Sci central so we never miss an opportunity to highlight the latest developments. This week we look at the use of Complex Networks to identify clusters of Terrorist Groups, uncover coordinated networks on social media and Network Information. 

Finally, June Andrews from Stitchfix guides us through the The Uncanny Valley of ML in the video of the 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. An overview of gradient descent optimization algorithms [ruder.io]
  2. Eleven tips for working with large data sets [nature.com]
  3. An algorithm that learns through rewards may show how our brain does too [technologyreview.com]
  4. Overfitting: A Guided Tour [alexpghayes.com]
  5. Algorithm for Drawing Trees [rachel53461.wordpress.com]
  6. Understanding Analysis of Variance: ANOVA [towardsdatascience.com]
  7. Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python [medium.com/analytics-vidhya]
  8. Hidden Computational Power Found in the Arms of Neurons [quantamagazine.org]
  9. Using neural networks to solve advanced mathematics equations [ai.facebook.com]
  10. Probability Distributions in Data Science [towardsdatascience.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 Uncanny Valley of ML
https://www.youtube.com/watch?v=vGfVa0c3R1w

Upcoming Events:

Opportunities to learn from us
  1. Jan 27, 2020 - Applied Probability Theory for Everyone [Register] 
  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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