How to design conclusive A/B Testing experiments?
Watch out for naively (because implicitly based on flat-prior) Bayesian statements based on classical confidence intervals! (Comptroller of the Currency edition)
Laurent Belsie writes:
Egg-Not-Egg Deep Learning Model
We’re really excited about our upcoming EGG Paris and EGG NYC conferences next week. There will be data science experts running demos, talks and use cases from industry leaders, and lots of swag. We wanted to celebrate with a cool new visual deep learning model in Dataiku 5.0.
R Packages worth a look
Finds an Optimal System of Distinct Representatives (OSDR)Provides routines for finding an Optimal System of Distinct Representatives (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.
Rcpp 1.0.0： The Tenth Birthday Release
As mentioned here two days ago, the Rcpp package turned ten on Monday—and we used to opportunity to mark the current version as 1.0.0! Thanks to everybody who liked and retweeted our tweet about this. And of course, once more a really big Thank You! to everybody who helped along this journey: Rcpp Core team, contributors, bug reporters, workshop and tutorial attendees and last but not least all those users – we did well. So let’s enjoy and celebrate this moment.
AWS expands HIPAA eligible machine learning services for healthcare customers
Today, AWS announced that Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now U.S. Health Insurance Portability and Accountability Act of 1966 (HIPAA) eligible services. This announcement adds to the number of AWS artificial intelligence services that are already HIPAA eligible– Amazon Polly, Amazon SageMaker, and Amazon Rekognition. By using these services, AWS customers in the healthcare industry can leverage data insights to deliver better outcomes for providers and patients using the power of machine learning (ML).
Introducing Webhooks — Fastest Way to Collect Data
Introducing Webhooks — Fastest Way to Collect Data
Introduction to Amazon SageMaker Object2Vec
In this blog post, we’re introducing the Amazon SageMaker Object2Vec algorithm, a new highly customizable multi-purpose algorithm that can learn low dimensional dense embeddings of high dimensional objects.
How to sync Fastmail's CardDAV to use with mutt + abook
As I’ve said here before, I like reading my mail with mutt; it’s true that it sucks less. For a while I’ve kept a local abook file with my contacts; or a least a partial list of people I normally send e-mails to. It was synchronized across several computers using Dropbox and more or less did the job, but lately I’ve tried to centralize this using Fastmail’s servers. I’ve used this pretty handy Perl script to query Fastmail’s LDAP servers, but this takes a second for every contact I want to e-mail. Not a lot of time, but not optimal either. Also, I don’t have a local copy of my entire address book.
Melanie Mitchell says, “As someone who has worked in A.I. for decades, I’ve witnessed the failure of similar predictions of imminent human-level A.I., and I’m certain these latest forecasts will fall short as well. “
Melanie Mitchell‘s piece, Artificial Intelligence Hits the Barrier of Meaning (NY Times behind limited paywall), is spot-on regarding the hype surrounding the current A.I. boom. It’s soon to come out in book length from FSG, so I suspect I’ll hear about it again in the New Yorker.