Occam's Razor

JANUARY 6, 2010

Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 2 Learn basic statistics. For all of the above reasons it is becoming ever more important that you are know atleast Statistics 101. 1: Don't suck.

Analytics 99

Analytics IT Statistics Metrics 99

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Feel free to substitute Data Lake for Data Warehouse if you want a more modern vibe, sadly it won’t change the failure statistics. . [5]. – CIO.com 2010. “61%

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Occam's Razor

MAY 14, 2012

When their competitors are ramping down (perhaps due to their inflexibility), Amazon can read the market much better (notice Christmas 2010 as well) and are well placed (thanks to Paid and Organic Search strategies) to grab all these new people who are coming into the market to shop. You have to hand it to the Marketing folks at Amazon.

Measurement 128

Measurement Analytics Advertising Marketing 128

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

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] Unpublished book chapter on importance sampling. [2]

Metrics 98

Metrics Statistics Uncertainty Optimization 98

O'Reilly on Data

MARCH 20, 2019

2010): 121-148. But keeping a placeholder for them when scoring new data, or when retraining future iterations of your model, may come in very handy one day. If you’d like to learn more about the fascinating subject of securing machine learning models, here are the main references—past and present—that I used for this post. Kumar, Ajitesh.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Journal of the American Statistical Association 68.341 (1973): 117-130. [5] Journal of the American Statistical Association, Vol. 5] Anoop Korattikara, et al.

Modeling 40

Modeling Statistics Advertising Testing 40

Occam's Razor

FEBRUARY 22, 2010

In May 2010 (!). 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. 9 points higher, now you deserve a bonus!

Metrics 123

Metrics Advertising Reporting Software 123

Smart Data Collective

JULY 2, 2019

We have paid close attention to developments in the virtual assistant profession since 2010. The occupational Outlook guide published by the Bureau of Labor Statistics does not specifically track employment of virtual assistants. Over that time the demand for virtual assistants has grown.

Big Data 77

Big Data ROI Testing Statistics 77

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. As of 2010 I still have a lot more years that I spend in the traditional data warehousing / business intelligence world than in web analytics.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Perceptual Edge

AUGUST 7, 2020

Ranks On COVID-19 Deaths Per Capita – And By Case Count” on August 5, 2010 by Jessica Craig illustrate this. Unfortunately, however, it also went on to give Trump some credit for his positive spin on mortality statistics, largely ignoring the fact that Trump’s fundamental claim was a bald-faced lie.

Measurement 101

Measurement Statistics Reporting IT 101

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

datapine

APRIL 16, 2019

From these developments, data science was born (or at least, it evolved in a huge way) – a discipline where hacking skills and statistics meet niche expertise. Quantitative data analysis focuses on numbers and statistics. Qualitative data analysis is based on observation rather than measurement. The proof is in the numbers.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

JANUARY 25, 2021

Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. It’s tempting to think of Flask and Vue as “new” platforms, but they were released in 2010 and 2014, respectively; they’ve had time to establish themselves.

Machine Learning 363

Machine Learning Software Testing Technology 363