In functional programming, your functions should not have side effects. Make sure you are using pure functions with these examples of side effects to avoid.
Many DL neural networks contain hard-coded data processing, along with feature extraction and engineering. They may require less of these than other ML algorithms, but they still require *some*.
Buckle up for a 30-minute talk about the current state of IoT data and a demo that tackles MQTT, TLS, load balancing, session persistence, and plenty more.
Feature hashing is a valuable tool in the data scientist's arsenal. Learn how to use it as a fast, efficient, flexible technique for feature extraction that can scale to sparse, high-dimensional data.
Let's dive into JShell and, in particular, see how it's used to interact with some of Java 9's newest features, including the updates to the Streams API.
Learn how to configure Telegraf, a plugin-driven server agent for collecting and reporting metrics, to pull metrics from a Java app inside a Docker container.
With the multitude of CLI parsing libraries available for Java, is it at all worthwhile to write your own? Sometimes. Here's one dev's thoughts on good old DIY solutions.
It's survival of the fittest in the world of programming languages... at least that's what the up and comers seem to think when face to face with almost any programming lang that came before them. Keep it civil guys, we don't want any extinctions here.
Want to keep your programs running performantly? Here are some steps you can take to eliminate bottlenecks, tips for caching, and other performance tuning suggestions.
We often need to know where a request is originally coming from, even if the request is coming through a proxy. In this post we take a look at how to get the information using Node.js.
Take a look at where HTTP/2 support stands for Java 9, what problems it solves, and more importantly, what issues still need help from outside libraries.
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