Data Science and Beyond

APRIL 5, 2021

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. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress. Technical work.

Experimentation 61

Experimentation Testing Publishing Data Collection 61

IBM Big Data Hub

MARCH 27, 2024

Some companies attempt to estimate Scope 3 emissions by collecting data from suppliers and manually categorizing data, but progress is hindered by challenges such as large supplier base, depth of supply chains, complex data collection processes and substantial resource requirements.

Experimentation 73

Experimentation Deep Learning Modeling Data-driven 73

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. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. This reality powers my impostor syndrome, and (yet?)

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Occam's Razor

JUNE 6, 2007

It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Experimentation & Testing (A/B, Multivariate, you name it). The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view. There I said it.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Cloudera

JUNE 6, 2019

At the other end of the spectrum, the admin may instantiate a number of low-priority dev clusters – these clusters may often run at capacity, not require performance guarantees, but also provide more agility and flexibility for experimentation. Designing a proper network for VPCs extends beyond the scope of this blog post.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Dataiku

APRIL 22, 2022

Enter Frugal AI , a technique that promises the use of less data and less compute power while guaranteeing robustness within the intended field of use for a given AI model.It In this blog series, we will explore Frugal AI from the perspectives of data, design, trust, and sustainability. It's All in a Name.

Experimentation 59

Experimentation Business Objectives Modeling Manufacturing 59

Insight

MARCH 27, 2019

Ways to get better data Efforts to improve the quality of data often have a higher return on investment than efforts to enhance models. There are three main ways to improve data: collecting more data, synthesizing new data, or augmenting existing data. 2018 , blog ).

Optimization 75

Optimization Cost-Benefit Modeling Publishing 75

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. For this blog, we will be tackling a use case that forecasts sales across multiple retail stores in the U.S. Improved Productivity.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Depict Data Studio

JULY 13, 2021

a school district’s worth of students), it’s still unlikely you need statistics, unless you are trying to answer a scientific-type question (and what scientific-type questions nonprofits with a lot of data might ask is for another blog post on another day). Ask us more about Data Teams! We love to talk about them!).

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Occam's Razor

JANUARY 7, 2014

Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) But if their primary output is just data, and not actions to take expressed in English or verbally in weekly senior staff meeting, then they are simply Reporting Squirrels. My second blog post covered what and why !

Data-driven 142

Data-driven Consulting Reporting Marketing 142

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Disclosure].

Analytics 136

Analytics Testing Measurement Optimization 136

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. And for good reason!

Experimentation 62

Experimentation Testing Statistics Metrics 62

Occam's Razor

MARCH 23, 2010

In this blog post let me share with you some ground truths from my own humble experience. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. I recommend this blog post: Web Analysis: In-house or Out-sourced or Something Else? Likely not.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

DECEMBER 12, 2016

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. with responsibility for every facet of the entire company's data collection, data reporting and data analysis.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

MAY 27, 2015

A data-first strategy is a winning formula. This has to be bizarre coming from an author who's only minor claim to fame is data. Look at the right nav on this blog, two best selling books in 13 languages! It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155