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distributed ML

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Qunar Tech Salon
Qunar Tech Salon
Jun 1, 2021 · Big Data

Integrating TensorFlow for Java with Spark‑Scala for Distributed Machine Learning Prediction

This article shares practical experience of building a high‑performance distributed prediction service by combining TensorFlow for Java with Spark‑Scala, covering framework selection, performance comparison, model training, loading, inference, deployment, and optimization techniques for large‑scale data processing.

JavaScalaSpark
0 likes · 16 min read
Integrating TensorFlow for Java with Spark‑Scala for Distributed Machine Learning Prediction
DataFunTalk
DataFunTalk
May 8, 2020 · Artificial Intelligence

Distributed Machine Learning Framework GDBT for High‑Dimensional Real‑Time Recommendation Systems

The article explains how the fourth paradigm's distributed machine learning framework GDBT tackles the massive data, high‑dimensional features, and real‑time requirements of modern recommendation systems by leveraging heterogeneous computing, parameter servers, RDMA networking, and optimized workloads.

GDBTRDMARecommendation systems
0 likes · 18 min read
Distributed Machine Learning Framework GDBT for High‑Dimensional Real‑Time Recommendation Systems