Vocabularies

The inspiration for this posting comes from an excellent book I’ve just read called Professor Povey’s Perplexing Problems (Pre-university Physics and Maths Puzzles with Solutions). If you enjoy the writings of Martin Gardner you’ll love this book. His book also reminds me of another title I read years ago called The Flying Circus of Physics (Oh, it appears there is a now a second edition; I’ll have to order it!) |The inspiration for this posting comes from an excellent book I’ve just read called Professor Povey’s Perplexing Problems (Pre-university Physics and Maths Puzzles with Solutions). If you enjoy the writings of Martin Gardner you’ll love this book. His book also reminds me of another title I read years ago called The Flying Circus of Physics (Oh, it appears there is a now a second edition; I’ll have to order it!)The question is a simple one: If you have a long straight square sectioned bar, and drop it in water, what orientation will it float in?||

Much has been written in recent years on the pitfalls of using traditional hypothesis testing with online A/B tests. A key issue is that you’re likely to end up with many false positives if you repeatedly check your results and stop as soon as you reach statistical significance. One way of dealing with this issue is by following a Bayesian approach to deciding when the experiment should be stopped. While I find the Bayesian view of statistics much more intuitive than the frequentist view, it can be quite challenging to explain Bayesian concepts to laypeople. Hence, I decided to build a new Bayesian A/B testing calculator, which aims to make these concepts clear to any user. This post discusses the general problem and existing solutions, followed by a review of the new tool and how it can be improved further.

### Making Deep Networks Probabilistic via Test-time Dropout

This new (alpha) C++ client library for Apache Impala (incubating) and Apache Hive provides high-performance data access from Python.

So far, our policy has simply been to act greedily on some value function. What if we tried to learn the policy itself? We can represent this policy as the probability to take a certain action, given the state.

In the wake of an Islamic radical shooting up a bunch of gays, Americans have decided to engage in the feel-good ritual of donating blood. But in spite of this terror attack hitting the gay community especially hard, gays are still forbidden from participating. This has led to lots of folks questioning why.

It’s been shown many times that convolutional neural nets are very good at recognizing patterns in order to classify images. But what patterns are they actually looking for?

Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners.

** Tue 14 June 2016