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Music Conditioned 3D Dance Generation with AIST++
Blog: https://ai.googleblog.com/2021/09/music-conditioned-3d-dance-generation.html
Code: https://github.com/google-research/mint
AI Model: https://drive.google.com/drive/folders/17GHwKRZbQfyC9-7oEpzCG8pp_rAI0cOm?usp=sharing
#artificialintelligence
Team
@OpenArchiveBooks
@data_enthusiasts
Blog: https://ai.googleblog.com/2021/09/music-conditioned-3d-dance-generation.html
Code: https://github.com/google-research/mint
AI Model: https://drive.google.com/drive/folders/17GHwKRZbQfyC9-7oEpzCG8pp_rAI0cOm?usp=sharing
#artificialintelligence
Team
@OpenArchiveBooks
@data_enthusiasts
The Evolution of Netflix ML Technology!
Netflix strives to give recommendations that are relevant to our subscribers' interests, and they rely on Machine Learning (ML) methods to accomplish this.
However, ML algorithms are only as good as the data we feed them. Axion fact store is a component of the Machine Learning Platform, which serves machine learning needs across Netflix. The blog concentrates on the vast number of high-quality data kept in Axion, our fact store used to compute ML features offline.
Axion was created largely to reduce any training-serving bias and to accelerate offline experimentation.
The image below depicts how Axion interacts with Netflix's ML platform. The whole ML platform comprises tens of components, and the figure below only illustrates a subset of them. More information is available at Read here
#artificialintelligence #machinelearning #datascience #innovation #technology
Team
@data_enthusiasts
Netflix strives to give recommendations that are relevant to our subscribers' interests, and they rely on Machine Learning (ML) methods to accomplish this.
However, ML algorithms are only as good as the data we feed them. Axion fact store is a component of the Machine Learning Platform, which serves machine learning needs across Netflix. The blog concentrates on the vast number of high-quality data kept in Axion, our fact store used to compute ML features offline.
Axion was created largely to reduce any training-serving bias and to accelerate offline experimentation.
The image below depicts how Axion interacts with Netflix's ML platform. The whole ML platform comprises tens of components, and the figure below only illustrates a subset of them. More information is available at Read here
#artificialintelligence #machinelearning #datascience #innovation #technology
Team
@data_enthusiasts