O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? Identifying the problem. Don’t expect agreement to come simply.

Marketing 361

Marketing Experimentation Metrics Testing 361

O'Reilly on Data

OCTOBER 19, 2021

This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. Not only is data larger, but models—deep learning models in particular—are much larger than before. However, the concept is quite abstract.

IT 342

IT Testing Experimentation Software 342

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

OCTOBER 14, 2020

This article focuses on accelerating model development. Experimentation and collaboration are built into the core of the platform. We needed an “evolvable architecture” which would work with the next deep learning framework or compute platform. Domino shines in reproducibility and discovery. Why Petastorm?

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Domino Data Lab

APRIL 7, 2019

A good NLP library will, for example, correctly transform free text sentences into structured features (like cost per hour and is diabetic ), that easily feed into a machine learning (ML) or deep learning (DL) pipeline (like predict monthly cost and classify high risk patients ). Image Credit: Parsa Ghaffari on the Raylien Blog.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

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. Figure 04: Applied Machine Learning Prototypes (AMPs).

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. It analyzes historical data and news articles, confirming a possible market correction.

Cost-Benefit 92

Cost-Benefit Modeling Manufacturing Interactive 92