Learn how Google uses k-means for unsupervised clustering of data, stochastic dual coordinate ascent for context optimization, WALS for recommendations, etc.
The blog post scrutinizes three major phases—data preparation, training a model, and serving in production—to enable TensorFlow on top of current infrastructure.
Utilizing the eGovFrame development framework, the platform standardizes the efforts of the Korean software companies delivering nation-wide IT services.
In addition to cloud hype and blockchain focus, the major IBM event highlighted how IoT, AI, and machine learning are having an impact on multiple industries.
This blog post explores a TensorFlow-based tool capable of capturing human reactions, generating a story, and evaluating the output of generative models.
IBM expands on its cloud strategy with new multi-cloud initiatives—such as Secure Virtualization, Cloud Integration, Kubernetes orchestration, hybrid cloud tools, etc.
IBM takes blockchain seriously. An enterprise-ready blockchain as a service—based on Hyperledger Fabric v1.0—and many successful stories were presented.
