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Issue #19

Oct 6, 2019

Dear friends,

Welcome to the latest issue of the Sunday Briefing. This week we focus on the more traditional side of Machine Learning with tutorials on Statistics, Support Vector Machines and Principle Component Analysis. In addition we take a sober look at the hype surrounding deep learning with a comparison of the results obtained by a single neuron versus a full deep neural architecture. Finally, the video of the week is a quick but interesting introduction to the basics of Bayesian Inference.  

Thank you for being a loyal subscriber and lets get your week started with the latest developments in Data Science, Machine Learning and Artificial Intelligence!

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Semper discentes,

The D4S team

Top Links:

Tutorials and blog posts that came across our desk this week.
  1. We can’t trust AI systems built on deep learning alone [technologyreview.com]
  2. ML From Scratch, Part 6: Principal Component Analysis [oranlooney.com]
  3. A Gentle Introduction to Bayes Theorem for Machine Learning [machinelearningmastery.com]
  4. Statistics for Engineers - Applying statistical techniques to operations data [queue.acm.org]
  5. Processing 40 TB of code from ~10 million projects with a dedicated server and Go for $100 [boyter.org]
  6. Statistics for Data Scientists in 5 mins [towardsdatascience.com]
  7. Data visualization with Plotly [medium.com/dataseries]

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.


How Bayesian Inference Works

https://www.youtube.com/watch?v=5NMxiOGL39M

Upcoming Events:

Opportunities to learn from us
  1. Oct 14, 2019Time Series Data Processing and Modeling [Register
  2. Oct 30, 2019Applied Probability Theory from Scratch [Register
  3. Nov 11, 2019Natural Language Processing (NLP) from Scratch [Register] 🆕
  4. Nov 18, 2019Graphs and Network Algorithms from Scratch [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!

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