Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). We can group by study arm and calculate various statistics as mean and standard deviation. References. [1] In this tutorial we will use JupyterLab. 1] Gabrielsson J, Weiner D.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

APRIL 8, 2013

The word hypothesis means a lot of different things, but in this context I like this definition from Wikipedia the best: People refer to a trial solution to a problem as a hypothesis, often called an "educated guess”, because it provides a suggested solution based on the evidence. The result? The graph is impressive, right?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. Text synopses are ‘tokenized’ with the aid of a reference library. features) and metadata (i.e. It’s much faster than the full BERT model without sacrificing much in the way of performance.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

DECEMBER 6, 2023

Microsoft called the poll an error and promised to investigate, but it already seems to clearly breach several of the company’s own principles of responsible AI usage , such as inform people that they’re interacting with an AI system, and guidelines for human-AI interaction.

IT 133

IT Risk Management Interactive Modeling 133

The Unofficial Google Data Science Blog

JULY 31, 2016

To figure this out, let's consider an appropriate experimental design. In other words, the teacher is our second kind of unit, the unit of experimentation. This type of experimental design is known as a group-randomized or cluster-randomized trial. The second source of dependence comes from student interactions.

Experimentation 42

Experimentation Testing Measurement Metrics 42

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Choice and Assessment of Statistical Predictions by Stone.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 22, 2019

Note: Lemmatization, a more sophisticated alternative to stemming, requires the use of a reference vocabulary. Although it’s not perfect, [Note: These are statistical approximations, of course!] Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111