O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? Products based on deep learning can be difficult (or even impossible) to develop; it’s a classic “high return versus high risk” situation, in which it is inherently difficult to calculate return on investment.

Marketing 361

Marketing Experimentation Metrics Testing 361

DataRobot Blog

MARCH 9, 2022

This article was originally published at Algorithimia’s website. This article may not be entirely up-to-date or refer to products and offerings no longer in existence. 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.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI. Machine Learning Model Visibility .

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. deep learning on edge devices.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

O'Reilly on Data

MARCH 20, 2019

Watermarking is a term borrowed from the deep learning security literature that often refers to putting special pixels into an image to trigger a desired outcome from your model. A lot of the contemporary academic machine learning security literature focuses on adaptive learning, deep learning, and encryption.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. RED can make a big difference when applied to real life events, showcasing how it can correlate news articles with stock price fluctuations.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. We have an article on this on Domino. By that point, they had all reached the same conclusion.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109