The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. 2008 – Financial crisis : scientists flee Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Sources of model risk. Model risk management. Image by Ben Lorica.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

O'Reilly on Data

MAY 27, 2020

These scores go on student report cards, and are a frequent topic at parent-teacher conferences. Ever since 1989, the state has periodically published a report card that rates each surgeon, by name, based on how many of that surgeon’s patients died in hospital or within 30 days after coronary artery bypass surgery.

Risk 355

Risk Testing Reporting Measurement 355

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He was saying this doesn’t belong just in statistics. Key highlights from the session include. Transcript. Tukey did this paper.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

SEPTEMBER 29, 2009

The data in the above report shows how frequently during a time period do the website's visitors visit the website. The above report shows the overall add to that number in this month but by segmenting my Yahoo! "Avinash Oh and not in your Site Catalyst or WebTrends reports! I am using Compete for the above report.

Measurement 128

Measurement Metrics Analytics Marketing 128

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”? Starting with Python 3.0

Machine Learning 363

Machine Learning Software Testing Technology 363