Dataiku

MAY 11, 2021

Automated machine learning (AutoML) shows great promise in providing more efficient, explainable, and reproducible AI solutions. Organizations might wonder, however, are all AutoML tools created equal? The short answer is: no, not all AutoML is created equal.

Machine Learning 59

Machine Learning Modeling Technology 59

DataRobot Blog

MARCH 16, 2023

This is another example of how DataRobot AI Platform makes it easy to seamlessly integrate with new technologies, like Azure OpenAI Service, so you can create innovative business solutions using ML. In this new approach, we are creating an entirely new data science development and collaboration experience.

Data Science 98

Data Science Technology Data-driven Modeling 98

O'Reilly on Data

JULY 28, 2020

Politics, personalities, and the tradeoff between short-term and long-term outcomes can all contribute to a lack of alignment. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. In this article, we turn our attention to the process itself: how do you bring a product to market? Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

DataRobot

MAY 14, 2021

This unlocks our world-class blueprints and allows advanced data scientists to customize and extend our automated capabilities with their own code to create new models that are explainable, trusted, and have a clear pathway to production through our MLOps product. It’s obvious that every organization will become AI-driven. It’s a Requirement.

Data-driven 59

Data-driven Machine Learning Modeling Data Science 59

Insight

MARCH 27, 2019

DeepAugment is an AutoML tool focusing on data augmentation. DeepAugment: lightning fast autoML DeepAugment is designed as a fast and flexible autoML data augmentation solution. It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. 2018 , blog ).

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Domino Data Lab

MAY 8, 2019

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Introduction. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

If it’s not interesting after all, then you wander over to another session. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. But first, let’s backup and discuss: what is this Foo thing anyway?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71