Source: O\’Reilly Radar Introducing RLlib: A composable and scalable reinforcement learning library RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning. In a previous post, I outlined emerging applications of reinforcement learning (RL) in industry. I began by listing a few challenges facing anyone wanting to apply […]

Source: O\’Reilly Radar Four short links: 19 January 2018 Pricing, Windows Emulation, Toxic Tech Culture, and AI Futures Pricing Summary — quick and informative read. Three-part tariff (3PT)—Again, the software has a base platform fee, but the fee is $25,000 because it includes the first 150K events free. Each […]

Source: O\’Reilly Radar Convolutional neural networks for language tasks Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks. When approaching problems with sequential data, such as natural language tasks, recurrent neural networks (RNNs) typically top the choices. While the temporal […]

Source: O\’Reilly Radar Four short links: 18 January 2018 Secure Software, Delta Robots, Authenticating Reverse Proxy, and Public Domain is Back​ Some Thoughts on Security After 10 Years of qmail 1.0 — Ten years after the launch of qmail 1.0, and at a time when more than a million […]

Source: O\’Reilly Radar What is a reactive microservice? Explore the factors that make up a reactive microservice. One of the key principles in employing a Microservices-based Architecture is Divide and Conquer: the decomposition of the system into discrete and isolated subsystems communicating over well-defined protocols. […]

Source: O\’Reilly Radar Put machine learning to work in the real world The sessions and training courses at Strata Data San Jose 2018 will focus on practical use cases of machine learning for data scientists, engineers, managers, and executives. We’re in an empirical era of machine learning. Companies are now […]