The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie.

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Ludwig (@RandiRLudwig) May 23, 2019. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smart Data Collective

APRIL 18, 2019

In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.” While the shared security model is taking some security pressure off the SOC, enterprises who have migrated infrastructure, platforms, and apps do not shed all security responsibilities. The same goes for cybersecurity. That’s the best approach.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

CIO Business Intelligence

JULY 7, 2023

The ITIL 4 was updated by Axelos in February 2019 to include a stronger emphasis on maintaining agility, flexibility, and innovation in ITSM, while still supporting legacy networks and systems. This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model.

Cost-Benefit 94

Cost-Benefit Strategy Management Uncertainty 94

CIO Business Intelligence

SEPTEMBER 12, 2022

The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Elixirr Consulting.

Experimentation 121

Experimentation Consulting Technology Machine Learning 121

O'Reilly on Data

JULY 20, 2021

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children.

Risk 303

Risk Software Interactive Modeling 303

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Occam's Razor

APRIL 15, 2019

During 2019, our Net Promotion Score has dropped 15 points. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. The conversion rate is down 30% at launch. Why be hurtin’? It is a lot of stuff!

Measurement 79

Measurement Strategy Data Processing Uncertainty 79