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 initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen. Remote work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

AWS Big Data

JANUARY 9, 2024

This functionality was initially released as experimental in OpenSearch Service version 2.4, To foster an open ecosystem, we created a framework to empower partners to easily build and publish AI connectors. We encourage search practitioners to begin testing the search methods available in order to find the right fit for your use case.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. It is also possible to create your own AMP and publish it in the AMP catalogue for consumption. The complete list is shown below: Model Lineage .

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Insight

APRIL 28, 2020

provide an opportunity to measure both. Screening Data Scientists Like a Pro: By the Numbers If you’re designing an interview process for the first time, it’s tempting to design a long and perfectly precise screening process so you’re blown away by those most battle-tested candidates who interview onsite.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Occam's Razor

FEBRUARY 26, 2008

" Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down." 1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Here is data from our latest test." And now you have no excuse to avoid testing.

Management 68

Management Experimentation Testing Strategy 68

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

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Thrilled is perhaps understating it, I am giddy like a schoolgirl. There I said it. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

AWS Big Data

JULY 26, 2023

The vector engine’s compute capacity used for data ingestion, and search and query are measured in OpenSearch Compute Units (OCUs). From preview to GA and beyond Today, we are excited to announce the preview of the vector engine, making it available for you to begin testing it out immediately.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Information can get quite distorted after being abstracted that many times.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Lack of loyalty shows simply re-publishing AP stories is useless. Allocate some of your aforementioned 15% budget to experimentation and testing.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Be incessantly focussed on your company customers and dragging their voice to the table (for example via experimentation and testing or via open ended survey questions). 6 Reporting is not Analysis.

Data-driven 117

Data-driven Metrics KPI Reporting 117

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. Make experimentation cheap and understand the cost of bad decisions. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. For the rest of this post, I'm going to use the first three to capture the essence of social engagement and brand impact, and one to measure impact on the business. It covers, content, marketing and measurement. It is pronounced the more test.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

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