Smart Data Collective

FEBRUARY 4, 2020

Current R&D Models Provide Diminishing Returns. The greatest advantage of AI is that it can digest vast amounts of medical knowledge — from thousands of published reports and scientific papers, say — and devise novel predictions and formulations that would take human researchers years of inefficient experimentation to find.

Experimentation 100

Experimentation Testing Modeling Strategy 100

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Data Science and Beyond

APRIL 5, 2021

Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself. The world has adapted quickly, though it seems like Automattic’s globally-distributed model is still quite unusual. Remote work. Only time will tell. Sustainability. Technical work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

CIO Business Intelligence

JUNE 28, 2023

Even among the companies permitting the tools, many are publishing stringent usage guidelines, and are proactively working with technology partners to accelerate access to enterprise-grade solutions with more robust security. Experimentation with a use case driven approach. Business fundamentals still apply.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Ontotext

NOVEMBER 2, 2023

However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight. And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion.

IT 69

IT Cost-Benefit Data-driven Technology 69

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Insight

FEBRUARY 20, 2020

Since we are not using any features, there is no model to learn and thus no variance. Armed with enough training data and a good model, we expect that for two new inputs h and N our model is able to predict M better than chance. We don’t even need a machine learning model to predict the outcome. confidence. confidence.

Machine Learning 71

Machine Learning Experimentation Modeling Measurement 71

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 68

Experimentation Sales Metrics Measurement 68

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. If it has been optimized for SEO though, you shouldn’t stop measuring it after the first week, as it needs a couple of months to reach its “cruising traffic”, and you can get several thousands of monthly visits.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

DECEMBER 12, 2016

Digital Marketing & Measurement Model. My solution to this, incredibly real and frustrating problem, is to insist on seeing the signed in blood version of the company's Digital Marketing & Measurement Model. What one critical metric will help you clearly measure performance for each strategy above?

Analytics 141

Analytics Data-driven Strategy Consulting 141

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. One OCU can handle 4 million vectors for 128 dimensions or 500K for 768 dimensions at 99% recall rate.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. Our mental model has not shifted enough to the existing reality. Lack of loyalty shows simply re-publishing AP stories is useless. One of my biggest learnings?

Marketing 140

Marketing B2B Measurement Risk 140

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. A quick and easy way to publish results to others, to accelerate results through active collaboration, even across organizational borders. Matthew’s company is not alone in this situation.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Occam's Razor

JULY 26, 2010

If today you are a content site that is only focused on measuring content consumed try to go deeper to understanding CPA of the ads or Visitor Loyalty. 3: Measure complete site success. Measure everyone's success. But donations is just one measure of success (" macro conversion "). So why not measure those?

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

MAY 27, 2015

In large measure that is because of the rise of programmatic buying. As all of my proceeds from the books go to charity, this passion for data has allowed me to donate $350,000 to charity since the first book was published. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses. What is to be done?

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

APRIL 29, 2013

You measure bounce rate and you can find those things, then figure out if the problem is at the source (ads) or destination (your site). Because Likes (and +1s, Followers) measure a fleeting Hello. Would you measure the success of your trades based on cost per trade? Bounce rate is really useful for finding things you suck at.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!).

Marketing 136

Marketing Analytics Machine Learning Strategy 136

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190