Domino Data Lab

OCTOBER 9, 2019

According to David Madigan, the former chair of Department of Statistics and current Dean of Faculty of Arts and Sciences and Professor of Statistics at Columbia University, a good metric for determining the optimal number of clusters is Hartigan’s rule (J. shows the Gap statistic for a number of different clusters.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Smart Data Collective

APRIL 13, 2021

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. The instances of data breaches in the United States are rather interesting. By 2012, there was a marginal increase, then the numbers rose steeply in 2014. Employee training.

Testing 126

Testing Behavioral Analytics Data-driven Big Data 126

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 69

Data-driven Data Warehouse Data Processing Marketing 69

Smart Data Collective

MAY 20, 2021

General user’s statistics. In 2011, EC decided that the storage of cookies should be allowed only after official notification of the user; this is why pop-up windows are used on the websites, but fees or penalties are not expected for the Owners who do not follow the law. Usage of VPN.

Advertising 88

Advertising Analytics Big Data Insurance 88

Sisense

MAY 4, 2020

These statistics highlight how large the task is to extract, transform, and load data that will be ready for analysis. As long ago as 2011, the McKinsey Global Institute estimated that retailers using data analytics at scale could increase their operating margins by more than 60 percent.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

IBM Big Data Hub

OCTOBER 12, 2023

For example, Apple made Siri a feature of its iOS in 2011. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligence output. This early version of Siri was trained to understand a set of highly specific statements and requests.

Machine Learning 67

Machine Learning Deep Learning Interactive Modeling 67

Sisense

MARCH 7, 2019

In fact, according to the UNESCO Institute for Statistics , “16 million girls will never set foot in a classroom – and women account for two-thirds of the 750 million adults without basic literacy skills.”. Despite progress in recent years, UNESCO says that more girls than boys remain out of school.

Statistics 90

Statistics Reporting Dashboards Interactive 90

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. So that’s one.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Cloudera

SEPTEMBER 29, 2022

But more dynamic information like freshness, statistics, access controls, owners, documentation, best uses of the data, and lineage also need to be considered to be part of the data product and interface of the data. . Back in 2011, Facebook ran into a problem with building clusters big enough to hold all data.

Data Architecture 73

Data Architecture Data Warehouse Metadata Sales 73

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

Risk 52

Risk Modeling Metrics Business Objectives 52

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

Jen Stirrup

OCTOBER 21, 2019

In reality, however, hyper-formalisation’ can lead to disadvantage (Noon, Healy & Forson 2011) as the rules become so rigid, that nobody can pass them. Office for National Statistics (2015) Gender Pay Gap. This can result in a strict formalization of the role. The Diversity Management Perspective. & Kamenou-Aigbekaen, N.

Data-driven 49

Data-driven Testing Marketing Insurance 49

The Unofficial Google Data Science Blog

APRIL 17, 2017

In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. Journal of Official Statistics 6.1 Specifically, see "1.4 2] Cleveland, Robert B.,

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. In what follows, assume we have a large number of items and people, so that the measures have little statistical uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment. In the U.S.,

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

MAY 14, 2012

It used to fall behind lag the other two in brand queries, but you can see how starting late 2009 (bad year for Target in this context) Amazon overtook Target and now (2011, 2012) is casting a big shadow over Target. Amazon is an interesting example. They are full of specific insights you can use to optimize your online search campaigns.

Measurement 129

Measurement Analytics Advertising Marketing 129

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin.

Modeling 128

Modeling Reporting Strategy Consulting 128

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. Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity. Add to Basket!

Strategy 125

Strategy Cost-Benefit Testing Sales 125

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. Nobody paid any attention to it whatsoever until 2011.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site.

Metrics 124

Metrics Advertising Reporting Software 124

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. By 2011, the company had 20 full-time photographers on staff. The properties with professional photography had 2-3 times the number of bookings! Airbnb had enough data points to be confident in their results.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Domino Data Lab

JANUARY 6, 2019

For content, the foundational material needs hands-on examples which reinforce statistical thinking , how to build reproducible workflows , understanding how to use confidence intervals , how to visualize data , no free lunch theorem, creating a confusion matrix , and so on. Downey (2011). Python Data Science Handbook. Think Stats.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Occam's Razor

SEPTEMBER 24, 2012

Then after two weeks I'll get my sales data for the Wal-Marts in my 25 cities and compare the sales for Pepsi Min, and see if there is a statistically significant lift in sales when compared to other cities I did not bombard with Facebook ads. CEO: OMG, you are so clever. Go do that. And come back and tell me Facebook works!

Advertising 165

Advertising ROI Metrics Marketing 165

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] 2011) earlier in this chapter. 2011) is made up of the natural language of reviews from the publicly available Internet Movie Database (IMDb; imdb.com ). representations using RNN encoder-decoder for statistical machine translation.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. For an illustration, we will make use of the World Bank API to download gross domestic product (GDP) for a number of countries from 1960 through 2011. > attGarch.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011.

Statistics 142

Statistics Data Processing Publishing Metrics 142

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Use ML to unlock new data types—e.g., images, audio, video. Tackle completely new use cases and applications. How much model inference is involved in specific applications?

Machine Learning 243

Machine Learning Technology Deep Learning Data Science 243

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Juice Analytics

MARCH 22, 2021

This work from 2011 was ahead of it’s time — as is most of Victor’s imaginative, inspirational work. How to Forecast an American’s Vote by The Economist “We have built a statistical model to estimate the odds of how each respondent will vote in next week’s mid-term elections.”

Visualization 140

Visualization Interactive Statistics Forecasting 140

Edwin Chen

JANUARY 7, 2013

— Sohaib Athar (@ReallyVirtual) May 1, 2011. Behind the scenes: we run a Storm topology that tracks statistics on search queries. — Janis Krums (@jkrums) January 15, 2009. When Osama bin Laden was killed. Helicopter hovering above Abbottabad at 1AM (is a rare event). Boy, I’m full of women!

Statistics 73

Statistics Machine Learning Advertising Metadata 73