Numerous articles say we’re set for a “Retail Apocalypse” to progress throughout 2020, as e-commerce continues to penetrate consumer lives at scale. It makes for a startling headline of course, but the future of physical retail may not be as catastrophic as the phrase implies.Read Full Story
Gone are the days when shoppers relied on word-of-mouth recommendations or were influenced by a more traditional TV, radio or newspaper advert before buying a product.
Now with over 3.2 billion social media users worldwide, it is faster and easier than ever to market to consumers – and savvy influencers are taking full advantage, according to leading agency Influencer Matchmaker.
As marketers, we’re making important decisions on behalf of our company and team every day. In addition to using our best judgment when it comes to making these decisions, it’s ideal to also utilize data and metrics when we can.Read Full Story
Editor’s Note: Recently, IIeX Behavior US was held in Boston. Many new developments were discussed. Here, Jackie Anderson gives us an overview of key themes from the conference.
Some of my favorite memories from grad school come from the hours spent hunkered in our school’s basement data lab, correlation matrices taped around the room, SPSS outputs so long they’d rival any CVS receipt.
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models.Read Full Story
“If I were starting a NoSQL-in-the-enterprise startup, I would focus on ETL. ETL is a mess, and is a precursor for any fancy uses of data.” – @jaykreps
“@jaykreps ETL is the coal mining of the information age: dirty, important work that fuels the economy.” – @peteskomoroch
One of the largest obstacles facing companies who seek to derive value from data isn’t data’s size.
We’re excited to announce that you can now survey people in over 50 countries around the globe with Google Surveys.When we first launched Google Surveys in 2012 (we called ourselves Google Consumer Surveys back then), our goal was to put quality market research in the hands of businesses of all sizes.Read Full Story
Happy 2019 & Top Posts of the YearThank you all for your readership in 2018. We’re starting out the New Year with some changes to our website, so please bear with us as we migrate our older blog posts over and get things updated.Our first post of 2019 will be our annual post on the changes in popular slang, a favorite among trend watchers and those following Millennials and Gen Y.Read Full Story
Introduction In a data-oriented world that we’re evolving into, targeted remarketing plays a very important role for every business. There are many ways to target users and let’s say that you are following all the seemingly effective methodologies but have…
The post Proven Hack To Remove Ghost Users Browsing Incognito From Your Remarketing List appeared first on Tatvic Analytics.
Yesterday I posted
on my favourite papers from the beginning of ICML (some of those
papers were actually presented today, although the posters were
I’m interrupting the regular programming for a quick announcement: we’re looking for data engineers at Better. You would be the first one to join and would work a lot directly with me.
Some fun things you could work on (these are all projects I’m working on right now):
Building a forecasting model using MCMC to predict volume the next few months.
ICML is too big for me to “review” it per se, but I can provide a myopic perspective.The heavy hitting topics were Deep Learning, Reinforcement Learning, and Optimization; but there was a heavy tail of topics receiving attention. It felt like deep learning was less dominant this year; but the success of deep learning has led to multiple application specific alternative venues (e.g.Read Full Story
We’re organizing a NIPS workshop on approximate inference. It is together with Tamara Broderick, Stephan Mandt, and James McInerney—and alongside an incredible cast of seminal researchers: David Blei, Andrew Gelman, Mike Jordan, and Kevin Murphy. [Workshop homepage]
This year, we set a theme based on what we believe are some of the most important challenges.
Two papers of mine were released today on arXiv.
Operator variational inference, in collaboration with Rajesh Ranganath, Jaan Altosaar, and David Blei.
Model criticism for Bayesian causal inference, in collaboration with Francisco Ruiz, Susan Athey, and David Blei.
Last week, I gave a talk at OpenAI on operator variational
inference and Edward. I can now release those
Imagine you were going to a party in an unfamiliar area, and asked the host for directions to their house. It takes you thirty minutes to get there, on a path that takes you on a long winding road with slow traffic. As the party ends, the host tells you “You can take the highway on your way back, it’ll take you only ten minutes. I just wanted to show you how much easier the highway is.Read Full Story
There were a number of great presentations on Oracle’s Machine Learning and Advanced Analytics at Oracle Open World 2017. Here are links to many of them. I’ll update this list posting as I collect more and can post the great presentations and resources.Read Full Story
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows.Data, even “big data,” doesn’t stay in the same place: it wants to move.Read Full Story
Art Peck, CEO, steps down (click here).4-5 years ago, we were constantly told by the experts that Gap and their “data-driven” approach was the key to success.CNBC (click here).Creative Directors were “False Messiahs” via Harvard Business School (click here). The brand was moving to a de-centralized, “data-driven” approach.Read Full Story
Mayo banging head
If you were on a committee to highlight issues surrounding P-values and replication, what’s the first definition you would check? Yes, exactly. Apparently, when it came to the recently released National Academies of Science “Consensus Study” Reproducibility and Replicability in Science 2019, no one did.
There were many great talks again at Oracle Open World & Code One 2018! See the OOW’18 and Code One’18 Sessions Catalogs to see everything there.
For easy access and downloads, I’m posting my Oracle’s Machine Learning talks, abstracts, downloads and “live” recording below.