O'Reilly on Data

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. We found companies were planning to use deep learning over the next 12-18 months. On the other hand, we wanted to measure the sophistication of their use of these components.

Deep Learning 207

Deep Learning Machine Learning Data Science Metadata 207

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 361

Marketing Experimentation Metrics Testing 361

O'Reilly on Data

JUNE 19, 2019

A catalog of validation data sets and the accuracy measurements of stored models. Metadata and artifacts needed for a full audit trail. Measuring online accuracy per customer / geography / demographic group is important both to monitor bias and to ensure accuracy for a growing customer base.

Modeling 193

Modeling Machine Learning Testing Metrics 193

DataRobot Blog

MARCH 9, 2022

With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task. Whenever you test a machine learning method, it’s helpful to have a baseline method and accuracy level against which to measure improvements.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Ontotext

MAY 22, 2023

We use other deep learning techniques for such tasks. Reference data used to classify or categorize other data, including units of measure, codes, as well as controlled vocabularies of terms and taxonomies of topics. Knowledge graphs are all about using semantic metadata to serve these purposes.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 327

Management Machine Learning Experimentation Metrics 327

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning.

Metadata 59

Metadata Data Governance Modeling Data-driven 59