O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Even with good training data and a clear objective metric, it can be difficult to reach accuracy levels sufficient to satisfy end users or upper management.

Management 332

Management Machine Learning Experimentation Metrics 332

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

In 2019, Netflix alone released 371 new TV shows and movies. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e.,

Risk 67

Risk ROI Modeling Metrics 67

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. But if the same insights or metrics are presented in a simple graph, the number rises to 97%. A BI strategy that leverages data visualization will provide an ROI of $13.01

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. What do you recommend to organizations to harness this but also show a solid ROI?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice (Feb 2019). What metrics are used to evaluate success? How companies are building sustainable AI and ML initiatives ”.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49