Occam's Razor

SEPTEMBER 24, 2012

So to imply the ROI in Step 4 is sub-optimal. Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Let's go!

Advertising 165

Advertising ROI Metrics Marketing 165

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

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. I built databases my whole career.

Data-driven 77

Data-driven Data Warehouse Data Processing Marketing 77

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

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. 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. Visual perception of information. Interpreting mathematical information.

Modeling 127

Modeling Reporting Strategy Consulting 127

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

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Note: Maas, A.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111