Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.
Craig Walls presents some of the features supported in Spring 4 including WebSockets, REST controllers, conditional configuration, ordered list injection, compatibility with Java 8 and Java EE 6&7.
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
Brian Korzynski unveils the secrets on LINQ, how it works and the constructs it uses, covering Funcs, Actions, lambdas, and expressions.
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
Rob Winch introduces Spring Boot, showing how to create the first app with it and explaining how it works under the hood.
Josh Long introduces some of the latest Spring features supporting HATEOAS-compliant and OAuth-secured REST services, NoSQL and Big Data, Websockets, OAuth, open-web security and mobile.
Nick O'Leary introduces Node-RED, an open source and browser-based environment for visually wiring together the many different streams that exist in the world of IoT.