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Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse
Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning
Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
Real-time machine and deep learning use cases are now practical, thanks to in-memory computing platforms with integrated continuous learning capabilities
Enterprises keep making these three mistakes, wasting their money, reducing app performance, and getting bad results
The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
There is a rarely discussed but tremendously important dynamic facing every business deploying machine learning: what’s changing below the surface