The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). There is so much packed in each box, I could write a 98-page book for each. :). It sounds complex, it is not. Here’s an example.

Analytics 131

Analytics Scorecard Strategy Testing 131

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

AUGUST 22, 2011

Book Articles. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Tip #9: Leverage Statistical Control Limits. Tip#1: Statistical Significance. Web Analytics Career Advice: Statistics, Business, IT & Mushrooms. Book Articles. Book: In Stores Now!!

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

APRIL 8, 2013

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. They preserve almost all original intent, but if you read the book, or see the cycle elsewhere, please don''t be surprised to see a slightly different version. KPI: Property bookings.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 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. 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. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. 80 people in California have booked this destination in the last 30 days. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity. 1,846 Pins for this closet on Pinterest.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

JANUARY 9, 2012

If they did, I would go having to remember which app to use to search for a hotel to having an app that is central to my life (and TripIt provides such value that it is) that I use all the time and that I will of course use when I have to think about booking any travel. The 2015 Digital Marketing Rule Book. One more example.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

MARCH 23, 2023

It has helped to write a book. And it can look up an author and make statistical observations about their interests. The world is full of uncreative boilerplate content that humans have to write: catalog entries, financial reports, back covers for books (I’ve written more than a few), and so on.

IT 262

IT Modeling Testing Risk 262

Occam's Razor

JUNE 6, 2011

You can't have free versions or free education or books on the subject matter. There are books galore. So in addition to becoming good at Omniture, Google Analytics, Baidu Analytics , pick one other tool from the Experimentation, Voice of Customer, Competitive Intelligence buckets of Web Analytics 2.0. Buy two books.

Analytics 125

Analytics Consulting Statistics Marketing 125

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. We’ve already introduced models, parameters, and hyperparameters in Section 5.2.2.4 [ in the book ]. in the book. ]. Introduction. In [1]: # setup. Models, Parameters, Hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. a book) into a list of discrete elements of language (e.g., and 2.6) [ in the book]. Introduction. Tokenization.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. starting Page 368, in case you have the book). If you don't have a robust experimentation program in your company you are going to die. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Depict Data Studio

MARCH 27, 2023

Sure, I could read one of Stefanie’s books. About the Instructor: Stefanie Posavec According to Stefanie’s website , she is “a designer, artist, and author exploring experimental approaches to communicating data and information to all ages and audiences.” Then, I fell in love with I am a Book, I am a Portal to the Universe.

Visualization 52

Visualization Consulting Dashboards Experimentation 52