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Weekly Selection – August 9, 2019

Introduction to Decision Intelligence

By Cassie Kozyrkov – 13 min read

A new discipline for leadership in the AI era


The Inspection Paradox is Everywhere

By Allen Downey – 8 min read

The inspection paradox is a statistical illusion you’ve probably never heard of. It’s a common source of confusion, an occasional cause of error, and an opportunity for clever experimental design.


6 Techniques Which Help Me Study Machine Learning Five Days Per Week

By Daniel Bourke – 8 min read

I studied machine learning every day for 9-months, then got a job. How? Like this…


Professor turned Data Scientist: Why Dr. Guido Maretto left academia for the startup life

By Haebichan Jung – 8 min read

TDS interviews former professor (Caltech Ph.D) on why he left his associate position and how to join industry after university.


Python Libraries for Interpretable Machine Learning

By Rebecca Vickery – 5 min read

4 libraries for better visualisation, explanation and interpretation of models


4 Product-Driven Steps to an AI Roadmap

By Daniel Shenfeld – 5 min read

How to teach products to make decisions


Turn your previous Python projects into awesome tools – with Tkinter

By Fábio Neves – 12 min read

Notebooks are boring!


Introduction to Quantum Programming

By Quentin Truong – 15 min read

Walkthrough of quantum programming from qubits to running real quantum programs!


How To Write Clean Code That Reduces Headaches

By Ravi Shankar Rajan – 7 min read

Abstraction is evil. Code is anti-evil, and clean code is perhaps divine.


Bayesian Modeling Airlines Customer Service Twitter Response Time

By Susan Li – 9 min read

Student’s t-distribution, Poisson distribution, Negative Binomial distribution, Hierarchical modeling and Regression


Experimentation in Data Science

By Daniel Foley – 13 min read

When AB testing doesn’t cut it


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