CIO Business Intelligence

MAY 20, 2024

This knowledge, generated through observation, reflection, study, and social interaction, led to a new companywide policy: “Let the grinder warm up for 15 minutes,” resulting in millions of dollars of extra profit at no additional cost. The study documents “substantial returns to face-to-face meetings … (and) returns to serendipity.”

Management 101

Management Interactive Measurement Marketing 101

AWS Big Data

JULY 26, 2023

Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. An index is a collection of documents with a common data schema and provides a way for you to store, search, and retrieve your vector embeddings and other fields.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. That’s the reward.

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. A major benefit of fastText. this chapter.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights.

Testing 79

Testing Modeling Machine Learning Metrics 79

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Other estimators, such as those based on matching and subclassification, may benefit from the balancing property, but the discussion of those estimators is postponed to a later post.

Statistics 44

Statistics Optimization Modeling Experimentation 44