AutoML
뉴스 & 기능
뉴스에서 | Anyscale Blog
Fast AutoML with FLAML + Ray Tune
FLAML is a lightweight Python library from Microsoft Research that finds accurate machine learning models in an efficient and economical way using cutting edge algorithms designed to be resource-efficient and easily parallelizable. FLAML can also utilize Ray Tune for distributed…
Factorized layers revisited: Compressing deep networks without playing the lottery
| Misha Khodak, Neil Tenenholtz, Lester Mackey, 그리고 Nicolo Fusi
From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As…
Measuring dataset similarity using optimal transport
| David Alvarez-Melis 그리고 Nicolo Fusi
Is FashionMNIST, a dataset of images of clothing items labeled by category, more similar to MNIST or to USPS, both of which are classification datasets of handwritten digits? This is a pretty hard question to answer, but the solution could…
뉴스에서 | TechCrunch
Microsoft makes a push to simplify machine learning
Continuing its strategy of democratizing access to AI, Microsoft released new machine learning products that range from no-code tools to hosted notebooks, with a number of new APIs and other services in-between.
The advancements that now come forward in this part of Microsoft's ML brain play result in part from experimentation carried out by Nicolo Fusi, who works in the automated machine learning research team at Microsoft Research.
뉴스에서 | ZDNet
Power BI delivers AI power
Microsoft's self-service BI tool will soon let business analysts build and use machine learning models, with minimal expertise, and no code. Access to Azure Cognitive Services and models hosted in Azure Machine Learning, as well as a new feature that…
뉴스에서 | Forbes
Microsoft Expands AI Offerings At Ignite 2018
Microsoft expanded its AI application footprint at the recent Microsoft Ignite conference in Orlando, regaining the market pole position for usable AI tools—from Outlook 365 to Machine Learning Services on the Microsoft Azure Cloud.
All about automated machine learning with Dr. Nicolo Fusi
Episode 43, September 26, 2018 - Dr. Nicolo Fusi gives us an inside look at Automated Machine Learning – Microsoft’s version of the industry’s AutoML technology – and shares the story of how an idea he had while working on…
뉴스에서 | Microsoft Azure Blog
Announcing automated ML capability in Azure Machine Learning
Intelligent experiences powered by machine learning can seem like magic to users. Developing them, however, can be anything but. Consider this “simple” tutorial chart from the scikit-learn machine learning library...