O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 361

Marketing Experimentation Metrics Testing 361

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). 2] Pumas AI Documentation, [link]. [3] Mean residence time.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Convert Data Skeptics: Document, Educate & Pick Your Poison. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics.

KPI 124

KPI Metrics Measurement ROI 124

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. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

AUGUST 22, 2019

Common natural language preprocessing options include: Tokenization: This is the splitting of a document (e.g., Execute gutenberg.fileids() to print the names of all 18 documents.) As we wrap up the section later on, we’ll apply the steps across the entire 18-document corpus. words), which we call tokens. Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

MARCH 12, 2020

To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. This is a ‘document distance’ problem, and is typically approached with cosine similarity.

Modeling 59

Modeling Metadata Publishing Sales 59